{"about":{"site":"https://codewithpapers.app","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.","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"},"url":"/paper/open-world-knowledge-graph-completion","title":"Open-World Knowledge Graph Completion","arxiv_id":"1711.03438","date":"2017-11-09","proceeding":null,"authors":["Baoxu Shi","Tim Weninger"],"abstract":"Knowledge Graphs (KGs) have been applied to many tasks including Web search,\nlink prediction, recommendation, natural language processing, and entity\nlinking. However, most KGs are far from complete and are growing at a rapid\npace. To address these problems, Knowledge Graph Completion (KGC) has been\nproposed to improve KGs by filling in its missing connections. Unlike existing\nmethods which hold a closed-world assumption, i.e., where KGs are fixed and new\nentities cannot be easily added, in the present work we relax this assumption\nand propose a new open-world KGC task. As a first attempt to solve this task we\nintroduce an open-world KGC model called ConMask. This model learns embeddings\nof the entity's name and parts of its text-description to connect unseen\nentities to the KG. To mitigate the presence of noisy text descriptions,\nConMask uses a relationship-dependent content masking to extract relevant\nsnippets and then trains a fully convolutional neural network to fuse the\nextracted snippets with entities in the KG. Experiments on large data sets,\nboth old and new, show that ConMask performs well in the open-world KGC task\nand even outperforms existing KGC models on the standard closed-world KGC task.","url_abs":"http://arxiv.org/abs/1711.03438v1","url_pdf":"http://arxiv.org/pdf/1711.03438v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"open-world-knowledge-graph-completion","repo_url":"https://github.com/bxshi/ConMask","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"entity-linking","task_name":"Entity Linking"},{"task_slug":"knowledge-graph-completion","task_name":"Knowledge Graph Completion"},{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"},{"task_slug":"link-prediction","task_name":"Link Prediction"},{"task_slug":"world-knowledge","task_name":"World Knowledge"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1711.03438","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.03438"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/bxshi/ConMask","reach":{"status":"ok","spdx":"MIT"}}],"summary":{"unverified":5},"by_repo_kind":{"official":{"samples":5,"ran":0,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":0,"samples":[{"code_sha256_prefix":"988a4bf0c0703f36","entry":"avg_grads","repo":"bxshi/ConMask","repo_kind":"official","path":"ndkgc/ops/multigpu.py","file_url":"https://github.com/bxshi/ConMask/blob/HEAD/ndkgc/ops/multigpu.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"988a4bf0c0703f36"}},{"code_sha256_prefix":"d1fe317c17261dab","entry":"get_content_matrix","repo":"bxshi/ConMask","repo_kind":"official","path":"ndkgc/ops/content.py","file_url":"https://github.com/bxshi/ConMask/blob/HEAD/ndkgc/ops/content.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d1fe317c17261dab"}},{"code_sha256_prefix":"6b059d79ceceb475","entry":"normalized_embedding","repo":"bxshi/ConMask","repo_kind":"official","path":"ndkgc/ops/lookup.py","file_url":"https://github.com/bxshi/ConMask/blob/HEAD/ndkgc/ops/lookup.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"6b059d79ceceb475"}},{"code_sha256_prefix":"ebe77e8d3f740a96","entry":"normalized_lookup","repo":"bxshi/ConMask","repo_kind":"official","path":"ndkgc/ops/lookup.py","file_url":"https://github.com/bxshi/ConMask/blob/HEAD/ndkgc/ops/lookup.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"ebe77e8d3f740a96"}},{"code_sha256_prefix":"c7de628ac2c9e0a1","entry":"triple_id_lookup","repo":"bxshi/ConMask","repo_kind":"official","path":"ndkgc/ops/lookup.py","file_url":"https://github.com/bxshi/ConMask/blob/HEAD/ndkgc/ops/lookup.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c7de628ac2c9e0a1"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}