{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/knowledge-graph-completion/papers/ran/1","list_of":"/task/knowledge-graph-completion","task":"Knowledge Graph Completion","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,47],"of":47,"counts":{"archive_papers_tagged":482,"with_a_code_link":251,"where_syntology_ran_a_sample":47,"not_listed_spam_title":0,"listed":482,"listed_where_code_ran":47,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":41,"every_run_a_failure_of_syntologys_instrument":6,"listed_with_a_run_with_no_instrument_failure":41,"listed_every_run_a_failure_of_syntologys_instrument":6,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/knowledge-graph-completion/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/pagerank-bandits-for-link-prediction","slug":"pagerank-bandits-for-link-prediction","title":"PageRank Bandits for Link Prediction","date":"2024-11-03","arxiv_id":"2411.01410","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/pagerank-bandits-for-link-prediction#ran","syntology_url":"https://syntology.ai/paper/2411.01410","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.01410"}},"official":{"repos":["jiaruzouu/prb"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/mixture-of-modality-knowledge-experts-for","slug":"mixture-of-modality-knowledge-experts-for","title":"Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning","date":"2024-05-27","arxiv_id":"2405.16869","repositories_listed":1,"syntology":{"n":8,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":8,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/mixture-of-modality-knowledge-experts-for#ran","syntology_url":"https://syntology.ai/paper/2405.16869","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.16869"}},"official":{"repos":["zjukg/momok"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/hyper-cl-conditioning-sentence","slug":"hyper-cl-conditioning-sentence","title":"Hyper-CL: Conditioning Sentence Representations with Hypernetworks","date":"2024-03-14","arxiv_id":"2403.09490","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/hyper-cl-conditioning-sentence#ran","syntology_url":"https://syntology.ai/paper/2403.09490","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.09490"}},"official":{"repos":["hyu-nlp/hyper-cl"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/urbankgent-a-unified-large-language-model","slug":"urbankgent-a-unified-large-language-model","title":"UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction","date":"2024-02-10","arxiv_id":"2402.06861","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":1,"n_ran_checked":1,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":5,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/urbankgent-a-unified-large-language-model#ran","syntology_url":"https://syntology.ai/paper/2402.06861","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.06861"}},"official":{"repos":["usail-hkust/urbankgent"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/knowledge-graphs-meet-multi-modal-learning-a","slug":"knowledge-graphs-meet-multi-modal-learning-a","title":"Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey","date":"2024-02-08","arxiv_id":"2402.05391","repositories_listed":6,"syntology":{"n":18,"n_ran":15,"n_constructed":0,"n_ran_checked":13,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":4,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/knowledge-graphs-meet-multi-modal-learning-a#ran","syntology_url":"https://syntology.ai/paper/2402.05391","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.05391"}},"official":{"repos":["zjukg/kg-mm-survey"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/kicgpt-large-language-model-with-knowledge-in","slug":"kicgpt-large-language-model-with-knowledge-in","title":"KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion","date":"2024-02-04","arxiv_id":"2402.02389","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/kicgpt-large-language-model-with-knowledge-in#ran","syntology_url":"https://syntology.ai/paper/2402.02389","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.02389"}},"official":{"repos":["weiyanbin1999/kicgpt"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/contextualization-distillation-from-large","slug":"contextualization-distillation-from-large","title":"Contextualization Distillation from Large Language Model for Knowledge Graph Completion","date":"2024-01-28","arxiv_id":"2402.01729","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":6,"n_pointer_only":9,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/contextualization-distillation-from-large#ran","syntology_url":"https://syntology.ai/paper/2402.01729","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.01729"}},"official":{"repos":["david-li0406/contextulization-distillation"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/progressive-distillation-based-on-masked","slug":"progressive-distillation-based-on-masked","title":"Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion","date":"2024-01-19","arxiv_id":"2401.12997","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/progressive-distillation-based-on-masked#ran","syntology_url":"https://syntology.ai/paper/2401.12997","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.12997"}},"official":{"repos":["cyjie429/pmd"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/increasing-coverage-and-precision-of-textual","slug":"increasing-coverage-and-precision-of-textual","title":"Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs","date":"2023-11-27","arxiv_id":"2311.15781","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/increasing-coverage-and-precision-of-textual#ran","syntology_url":"https://syntology.ai/paper/2311.15781","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.15781"}},"official":{"repos":["apple/ml-kge"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/making-large-language-models-perform-better","slug":"making-large-language-models-perform-better","title":"Making Large Language Models Perform Better in Knowledge Graph Completion","date":"2023-10-10","arxiv_id":"2310.06671","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/making-large-language-models-perform-better#ran","syntology_url":"https://syntology.ai/paper/2310.06671","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.06671"}},"official":{"repos":["zjukg/kopa"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/exploring-large-language-models-for-knowledge","slug":"exploring-large-language-models-for-knowledge","title":"Exploring Large Language Models for Knowledge Graph Completion","date":"2023-08-26","arxiv_id":"2308.13916","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/exploring-large-language-models-for-knowledge#ran","syntology_url":"https://syntology.ai/paper/2308.13916","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.13916"}},"official":{"repos":["yao8839836/kg-llm"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/revisiting-inferential-benchmarks-for","slug":"revisiting-inferential-benchmarks-for","title":"Revisiting Inferential Benchmarks for Knowledge Graph Completion","date":"2023-06-07","arxiv_id":"2306.04814","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/revisiting-inferential-benchmarks-for#ran","syntology_url":"https://syntology.ai/paper/2306.04814","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.04814"}},"official":{"repos":["shuwen-liu-ox/loginfer"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/ingram-inductive-knowledge-graph-embedding","slug":"ingram-inductive-knowledge-graph-embedding","title":"InGram: Inductive Knowledge Graph Embedding via Relation Graphs","date":"2023-05-31","arxiv_id":"2305.19987","repositories_listed":1,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/ingram-inductive-knowledge-graph-embedding#ran","syntology_url":"https://syntology.ai/paper/2305.19987","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.19987"}},"official":{"repos":["bdi-lab/ingram"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/text-augmented-open-knowledge-graph","slug":"text-augmented-open-knowledge-graph","title":"Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models","date":"2023-05-24","arxiv_id":"2305.15597","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":4,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/text-augmented-open-knowledge-graph#ran","syntology_url":"https://syntology.ai/paper/2305.15597","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.15597"}},"official":{"repos":["pat-jj/tagreal"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/logical-entity-representation-in-knowledge","slug":"logical-entity-representation-in-knowledge","title":"Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning","date":"2023-05-22","arxiv_id":"2305.12738","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/logical-entity-representation-in-knowledge#ran","syntology_url":"https://syntology.ai/paper/2305.12738","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.12738"}},"official":{"repos":["glaciohound/lerp"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/neural-compositional-rule-learning-for","slug":"neural-compositional-rule-learning-for","title":"Neural Compositional Rule Learning for Knowledge Graph Reasoning","date":"2023-03-07","arxiv_id":"2303.03581","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/neural-compositional-rule-learning-for#ran","syntology_url":"https://syntology.ai/paper/2303.03581","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.03581"}},"official":{"repos":["vivian1993/ncrl"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/bess-balanced-entity-sampling-and-sharing-for","slug":"bess-balanced-entity-sampling-and-sharing-for","title":"BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion","date":"2022-11-22","arxiv_id":"2211.12281","repositories_listed":2,"syntology":{"n":9,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/bess-balanced-entity-sampling-and-sharing-for#ran","syntology_url":"https://syntology.ai/paper/2211.12281","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.12281"}},"official":{"repos":["graphcore/distributed-kge-poplar"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/kglm-integrating-knowledge-graph-structure-in","slug":"kglm-integrating-knowledge-graph-structure-in","title":"KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction","date":"2022-11-04","arxiv_id":"2211.02744","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/kglm-integrating-knowledge-graph-structure-in#ran","syntology_url":"https://syntology.ai/paper/2211.02744","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.02744"}},"official":{"repos":["ibpa/kglm"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/mose-modality-split-and-ensemble-for","slug":"mose-modality-split-and-ensemble-for","title":"MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion","date":"2022-10-17","arxiv_id":"2210.08821","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"1 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/mose-modality-split-and-ensemble-for#ran","syntology_url":"https://syntology.ai/paper/2210.08821","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.08821"}},"official":{"repos":["oreozhao/mose4mkgc"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/refactor-gnns-revisiting-factorisation-based","slug":"refactor-gnns-revisiting-factorisation-based","title":"ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective","date":"2022-07-20","arxiv_id":"2207.09980","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/refactor-gnns-revisiting-factorisation-based#ran","syntology_url":"https://syntology.ai/paper/2207.09980","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.09980"}},"official":{"repos":["yihong-chen/refactorgnn"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/geometry-interaction-knowledge-graph","slug":"geometry-interaction-knowledge-graph","title":"Geometry Interaction Knowledge Graph Embeddings","date":"2022-06-24","arxiv_id":"2206.12418","repositories_listed":1,"syntology":{"n":14,"n_ran":13,"n_constructed":3,"n_ran_checked":3,"n_instrument":10,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":14,"phrase":"13 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 10 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/geometry-interaction-knowledge-graph#ran","syntology_url":"https://syntology.ai/paper/2206.12418","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2206.12418"}},"official":{"repos":["lion-zs/gie"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/relphormer-relational-graph-transformer-for","slug":"relphormer-relational-graph-transformer-for","title":"Relphormer: Relational Graph Transformer for Knowledge Graph Representations","date":"2022-05-22","arxiv_id":"2205.10852","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/relphormer-relational-graph-transformer-for#ran","syntology_url":"https://syntology.ai/paper/2205.10852","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.10852"}},"official":{"repos":["zjunlp/relphormer"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/transher-translating-knowledge-graph","slug":"transher-translating-knowledge-graph","title":"TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction","date":"2022-04-27","arxiv_id":"2204.13221","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/transher-translating-knowledge-graph#ran","syntology_url":"https://syntology.ai/paper/2204.13221","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.13221"}},"official":{"repos":["yizhilll/transher"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/multilingual-knowledge-graph-completion-with-1","slug":"multilingual-knowledge-graph-completion-with-1","title":"Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment","date":"2022-03-28","arxiv_id":"2203.14987","repositories_listed":1,"syntology":{"n":13,"n_ran":12,"n_constructed":0,"n_ran_checked":12,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/multilingual-knowledge-graph-completion-with-1#ran","syntology_url":"https://syntology.ai/paper/2203.14987","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.14987"}},"official":{"repos":["amzn/ss-aga-kgc"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/sequence-to-sequence-knowledge-graph-1","slug":"sequence-to-sequence-knowledge-graph-1","title":"Sequence-to-Sequence Knowledge Graph Completion and Question Answering","date":"2022-03-19","arxiv_id":"2203.10321","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/sequence-to-sequence-knowledge-graph-1#ran","syntology_url":"https://syntology.ai/paper/2203.10321","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.10321"}},"official":{"repos":["apoorvumang/kgt5"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/simkgc-simple-contrastive-knowledge-graph","slug":"simkgc-simple-contrastive-knowledge-graph","title":"SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models","date":"2022-03-04","arxiv_id":"2203.02167","repositories_listed":2,"syntology":{"n":6,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/simkgc-simple-contrastive-knowledge-graph#ran","syntology_url":"https://syntology.ai/paper/2203.02167","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.02167"}},"official":{"repos":["intfloat/simkgc"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/modeling-heterogeneous-hierarchies-with","slug":"modeling-heterogeneous-hierarchies-with","title":"Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones","date":"2021-10-28","arxiv_id":"2110.14923","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":2,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 2 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 2 samples that ran constructed an object rather than computing a result","sample_list":"/paper/modeling-heterogeneous-hierarchies-with#ran","syntology_url":"https://syntology.ai/paper/2110.14923","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.14923"}},"official":{"repos":["snap-stanford/ConE"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/vector-valued-distance-and-gyrocalculus-on","slug":"vector-valued-distance-and-gyrocalculus-on","title":"Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices","date":"2021-10-26","arxiv_id":"2110.13475","repositories_listed":1,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/vector-valued-distance-and-gyrocalculus-on#ran","syntology_url":"https://syntology.ai/paper/2110.13475","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.13475"}},"official":{"repos":["fedelopez77/gyrospd"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/temporal-knowledge-graph-completion-using-box","slug":"temporal-knowledge-graph-completion-using-box","title":"Temporal Knowledge Graph Completion using Box Embeddings","date":"2021-09-18","arxiv_id":"2109.08970","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/temporal-knowledge-graph-completion-using-box#ran","syntology_url":"https://syntology.ai/paper/2109.08970","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.08970"}},"official":null}},{"url":"/paper/neural-bellman-ford-networks-a-general-graph","slug":"neural-bellman-ford-networks-a-general-graph","title":"Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction","date":"2021-06-13","arxiv_id":"2106.06935","repositories_listed":3,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":10,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":2,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/neural-bellman-ford-networks-a-general-graph#ran","syntology_url":"https://syntology.ai/paper/2106.06935","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.06935"}},"official":{"repos":["DeepGraphLearning/NBFNet"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["community","listed","official"]}}},{"url":"/paper/an-adversarial-transfer-network-for-knowledge","slug":"an-adversarial-transfer-network-for-knowledge","title":"An Adversarial Transfer Network for Knowledge Representation Learning","date":"2021-04-30","arxiv_id":"2104.14757","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/an-adversarial-transfer-network-for-knowledge#ran","syntology_url":"https://syntology.ai/paper/2104.14757","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.14757"}},"official":{"repos":["LemonNoel/ATransN"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/adaptive-attentional-network-for-few-shot","slug":"adaptive-attentional-network-for-few-shot","title":"Adaptive Attentional Network for Few-Shot Knowledge Graph Completion","date":"2020-10-19","arxiv_id":"2010.09638","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/adaptive-attentional-network-for-few-shot#ran","syntology_url":"https://syntology.ai/paper/2010.09638","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.09638"}},"official":{"repos":["JiaweiSheng/FAAN"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/colake-contextualized-language-and-knowledge","slug":"colake-contextualized-language-and-knowledge","title":"CoLAKE: Contextualized Language and Knowledge Embedding","date":"2020-10-01","arxiv_id":"2010.00309","repositories_listed":1,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/colake-contextualized-language-and-knowledge#ran","syntology_url":"https://syntology.ai/paper/2010.00309","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.00309"}},"official":{"repos":["txsun1997/CoLAKE"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/direct-multi-hop-attention-based-graph-neural","slug":"direct-multi-hop-attention-based-graph-neural","title":"Multi-hop Attention Graph Neural Network","date":"2020-09-29","arxiv_id":"2009.14332","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/direct-multi-hop-attention-based-graph-neural#ran","syntology_url":"https://syntology.ai/paper/2009.14332","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2009.14332"}},"official":{"repos":["xjtuwgt/gnn-magna"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/quaternion-graph-neural-networks","slug":"quaternion-graph-neural-networks","title":"Quaternion Graph Neural Networks","date":"2020-08-12","arxiv_id":"2008.05089","repositories_listed":1,"syntology":{"n":13,"n_ran":9,"n_constructed":0,"n_ran_checked":8,"n_instrument":1,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/quaternion-graph-neural-networks#ran","syntology_url":"https://syntology.ai/paper/2008.05089","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.05089"}},"official":{"repos":["daiquocnguyen/QGNN"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/temporal-knowledge-base-completion-new","slug":"temporal-knowledge-base-completion-new","title":"Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols","date":"2020-05-02","arxiv_id":"2005.05035","repositories_listed":1,"syntology":{"n":12,"n_ran":3,"n_constructed":1,"n_ran_checked":1,"n_instrument":2,"n_unverified":9,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":12,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/temporal-knowledge-base-completion-new#ran","syntology_url":"https://syntology.ai/paper/2005.05035","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.05035"}},"official":{"repos":["dair-iitd/tkbi"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":9,"ran_from_kinds":["official"]}}},{"url":"/paper/entity-context-and-relational-paths-for","slug":"entity-context-and-relational-paths-for","title":"Relational Message Passing for Knowledge Graph Completion","date":"2020-02-17","arxiv_id":"2002.06757","repositories_listed":4,"syntology":{"n":18,"n_ran":12,"n_constructed":0,"n_ran_checked":12,"n_instrument":0,"n_unverified":6,"n_honours":1,"n_violates":0,"n_no_contract":11,"n_pointer_only":1,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/entity-context-and-relational-paths-for#ran","syntology_url":"https://syntology.ai/paper/2002.06757","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2002.06757"}},"official":{"repos":["hwwang55/PathCon"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":3,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/generative-adversarial-zero-shot-relational","slug":"generative-adversarial-zero-shot-relational","title":"Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs","date":"2020-01-08","arxiv_id":"2001.02332","repositories_listed":2,"syntology":{"n":6,"n_ran":4,"n_constructed":1,"n_ran_checked":2,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":3,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/generative-adversarial-zero-shot-relational#ran","syntology_url":"https://syntology.ai/paper/2001.02332","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.02332"}},"official":{"repos":["Panda0406/Zero-shot-knowledge-graph-relational-learning"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/learning-hierarchy-aware-knowledge-graph","slug":"learning-hierarchy-aware-knowledge-graph","title":"Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction","date":"2019-11-21","arxiv_id":"1911.09419","repositories_listed":9,"syntology":{"n":8,"n_ran":7,"n_constructed":0,"n_ran_checked":5,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":1,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/learning-hierarchy-aware-knowledge-graph#ran","syntology_url":"https://syntology.ai/paper/1911.09419","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1911.09419"}},"official":{"repos":["MIRALab-USTC/KGE-HAKE"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/inductive-relation-prediction-on-knowledge","slug":"inductive-relation-prediction-on-knowledge","title":"Inductive Relation Prediction by Subgraph Reasoning","date":"2019-11-16","arxiv_id":"1911.06962","repositories_listed":10,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/inductive-relation-prediction-on-knowledge#ran","syntology_url":"https://syntology.ai/paper/1911.06962","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1911.06962"}},"official":{"repos":["kkteru/grail"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/kepler-a-unified-model-for-knowledge","slug":"kepler-a-unified-model-for-knowledge","title":"KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation","date":"2019-11-13","arxiv_id":"1911.06136","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":5,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/kepler-a-unified-model-for-knowledge#ran","syntology_url":"https://syntology.ai/paper/1911.06136","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1911.06136"}},"official":{"repos":["THU-KEG/KEPLER"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/a-re-evaluation-of-knowledge-graph-completion","slug":"a-re-evaluation-of-knowledge-graph-completion","title":"A Re-evaluation of Knowledge Graph Completion Methods","date":"2019-11-10","arxiv_id":"1911.03903","repositories_listed":2,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/a-re-evaluation-of-knowledge-graph-completion#ran","syntology_url":"https://syntology.ai/paper/1911.03903","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1911.03903"}},"official":{"repos":["svjan5/kg-reeval"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/tackling-long-tailed-relations-and-uncommon","slug":"tackling-long-tailed-relations-and-uncommon","title":"Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion","date":"2019-09-25","arxiv_id":"1909.11359","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/tackling-long-tailed-relations-and-uncommon#ran","syntology_url":"https://syntology.ai/paper/1909.11359","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.11359"}},"official":{"repos":["ZihaoWang/Few-shot-KGC"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/kg-bert-bert-for-knowledge-graph-completion","slug":"kg-bert-bert-for-knowledge-graph-completion","title":"KG-BERT: BERT for Knowledge Graph Completion","date":"2019-09-07","arxiv_id":"1909.03193","repositories_listed":3,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/kg-bert-bert-for-knowledge-graph-completion#ran","syntology_url":"https://syntology.ai/paper/1909.03193","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.03193"}},"official":{"repos":["yao8839836/kg-bert"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/learning-attention-based-embeddings-for","slug":"learning-attention-based-embeddings-for","title":"Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs","date":"2019-06-04","arxiv_id":"1906.01195","repositories_listed":2,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/learning-attention-based-embeddings-for#ran","syntology_url":"https://syntology.ai/paper/1906.01195","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.01195"}},"official":{"repos":["deepakn97/relationPrediction"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/a-capsule-network-based-embedding-model-for-1","slug":"a-capsule-network-based-embedding-model-for-1","title":"A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization","date":"2018-08-13","arxiv_id":"1808.04122","repositories_listed":2,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/a-capsule-network-based-embedding-model-for-1#ran","syntology_url":"https://syntology.ai/paper/1808.04122","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.04122"}},"official":{"repos":["daiquocnguyen/CapsE"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/open-world-knowledge-graph-completion","slug":"open-world-knowledge-graph-completion","title":"Open-World Knowledge Graph Completion","date":"2017-11-09","arxiv_id":"1711.03438","repositories_listed":1,"syntology":{"n":5,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/open-world-knowledge-graph-completion#ran","syntology_url":"https://syntology.ai/paper/1711.03438","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.03438"}},"official":{"repos":["bxshi/ConMask"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":4,"ran_from_kinds":["official"]}}}],"record_sha256":"8949cf96ba91abe36f04f2a0249d981701acf7469a42764b5a2d60733abb29d5","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}