{"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/node2vec-scalable-feature-learning-for","title":"node2vec: Scalable Feature Learning for Networks","arxiv_id":"1607.00653","date":"2016-07-03","proceeding":null,"authors":["Aditya Grover","Jure Leskovec"],"abstract":"Prediction tasks over nodes and edges in networks require careful effort in\nengineering features used by learning algorithms. Recent research in the\nbroader field of representation learning has led to significant progress in\nautomating prediction by learning the features themselves. However, present\nfeature learning approaches are not expressive enough to capture the diversity\nof connectivity patterns observed in networks. Here we propose node2vec, an\nalgorithmic framework for learning continuous feature representations for nodes\nin networks. In node2vec, we learn a mapping of nodes to a low-dimensional\nspace of features that maximizes the likelihood of preserving network\nneighborhoods of nodes. We define a flexible notion of a node's network\nneighborhood and design a biased random walk procedure, which efficiently\nexplores diverse neighborhoods. Our algorithm generalizes prior work which is\nbased on rigid notions of network neighborhoods, and we argue that the added\nflexibility in exploring neighborhoods is the key to learning richer\nrepresentations. We demonstrate the efficacy of node2vec over existing\nstate-of-the-art techniques on multi-label classification and link prediction\nin several real-world networks from diverse domains. Taken together, our work\nrepresents a new way for efficiently learning state-of-the-art task-independent\nrepresentations in complex networks.","url_abs":"http://arxiv.org/abs/1607.00653v1","url_pdf":"http://arxiv.org/pdf/1607.00653v1.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":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/aditya-grover/node2vec","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/Nina-Konovalova/TSP-RL-Skoltech_project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"unanswered"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/Robotmurlock/Deepwalk-and-Node2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/TheJacksonLaboratory/N2V","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/WiktorJ/msnode2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/cvg/scrstudio","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"jax","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/eliorc/node2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/fahrbach/icml-2020-faster-graph-embeddings","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/icd-codex/icd-codex","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/monarch-initiative/embiggen","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/olety/TIMLinUCB","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/printfer/CS6490_NetworkSecurity_FinalProject","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/razrLeLe/fastwalk","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/rusty1s/pytorch_cluster","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/thibaudmartinez/node2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/urielsinger/ctdne","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/urielsinger/fairwalk","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/benedekrozemberczki/karateclub","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"GPL-3.0"}},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/dmlc/dgl/tree/master/examples/pytorch/node2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"node2vec-scalable-feature-learning-for","repo_url":"https://github.com/shenweichen/GraphEmbedding","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"link-prediction","task_name":"Link Prediction"},{"task_slug":"multi-label-classification-2","task_name":"MUlTI-LABEL-ClASSIFICATION"},{"task_slug":"multi-label-classification","task_name":"Multi-Label Classification"},{"task_slug":"node-classification","task_name":"Node Classification"},{"task_slug":"representation-learning","task_name":"Representation Learning"}],"methods":[{"method_slug":"node2vec","method_name":"node2vec"}],"datasets_introduced":[],"methods_introduced":[{"slug":"node2vec","name":"node2vec","full_name":"node2vec"}],"results":[{"leaderboard":"/sota/link-prediction-on-usair","task":"Link Prediction","dataset":"USAir","model":"N2V","rank_in_archive_order":2,"of":2,"metrics":{"AUC":"91.44"},"uses_additional_data":false},{"leaderboard":"/sota/link-property-prediction-on-ogbl-citation2","task":"Link Property Prediction","dataset":"ogbl-citation2","model":"Node2vec","rank_in_archive_order":20,"of":23,"metrics":{"Ext. data":"No","Number of params":"374911105","Test MRR":"0.6141 ± 0.0011","Validation MRR":"0.6124 ± 0.0011"},"uses_additional_data":false},{"leaderboard":"/sota/link-property-prediction-on-ogbl-collab","task":"Link Property Prediction","dataset":"ogbl-collab","model":"Node2vec","rank_in_archive_order":26,"of":34,"metrics":{"Ext. data":"No","Number of params":"30322945","Test Hits@50":"0.4888 ± 0.0054","Validation Hits@50":"0.5703 ± 0.0052"},"uses_additional_data":false},{"leaderboard":"/sota/link-property-prediction-on-ogbl-ddi","task":"Link Property Prediction","dataset":"ogbl-ddi","model":"Node2vec","rank_in_archive_order":27,"of":31,"metrics":{"Ext. data":"No","Number of params":"645249","Test Hits@20":"0.2326 ± 0.0209","Validation Hits@20":"0.3292 ± 0.0121"},"uses_additional_data":false},{"leaderboard":"/sota/link-property-prediction-on-ogbl-ppa","task":"Link Property Prediction","dataset":"ogbl-ppa","model":"Node2vec","rank_in_archive_order":24,"of":26,"metrics":{"Ext. data":"No","Number of params":"73878913","Test Hits@100":"0.2226 ± 0.0083","Validation Hits@100":"0.2253 ± 0.0088"},"uses_additional_data":false},{"leaderboard":"/sota/malware-detection-on-android-malware-dataset","task":"Malware Detection","dataset":"Android Malware Dataset","model":"node2vec","rank_in_archive_order":3,"of":4,"metrics":{"Accuracy":"81.25"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-blogcatalog-1","task":"Node Classification","dataset":"BlogCatalog","model":"node2vec","rank_in_archive_order":5,"of":6,"metrics":{"Accuracy":"21.5","Macro-F1":"0.2581"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-blogcatalog-1","task":"Node Classification","dataset":"BlogCatalog","model":"DeepWalk","rank_in_archive_order":6,"of":6,"metrics":{"Macro-F1":"0.206"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-ppi","task":"Node Classification","dataset":"PPI","model":"node2vec","rank_in_archive_order":23,"of":24,"metrics":{"Macro-F1":"0.1791"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-ppi","task":"Node Classification","dataset":"PPI","model":"DeepWalk","rank_in_archive_order":24,"of":24,"metrics":{"Macro-F1":"0.1768"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-wikipedia","task":"Node Classification","dataset":"Wikipedia","model":"node2vec","rank_in_archive_order":5,"of":6,"metrics":{"Accuracy":"19.1%","Macro-F1":"0.1552"},"uses_additional_data":false},{"leaderboard":"/sota/node-classification-on-wikipedia","task":"Node Classification","dataset":"Wikipedia","model":"DeepWalk","rank_in_archive_order":6,"of":6,"metrics":{"Macro-F1":"0.1274"},"uses_additional_data":false},{"leaderboard":"/sota/node-property-prediction-on-ogbn-arxiv","task":"Node Property Prediction","dataset":"ogbn-arxiv","model":"Node2vec","rank_in_archive_order":80,"of":86,"metrics":{"Ext. data":"No","Number of params":"21818792","Test Accuracy":"0.7007 ± 0.0013","Validation Accuracy":"0.7129 ± 0.0013"},"uses_additional_data":false},{"leaderboard":"/sota/node-property-prediction-on-ogbn-papers100m","task":"Node Property Prediction","dataset":"ogbn-papers100M","model":"Node2vec","rank_in_archive_order":19,"of":20,"metrics":{"Ext. data":"No","Number of params":"14215818412","Test Accuracy":"0.5560 ± 0.0023","Validation Accuracy":"0.5807 ± 0.0028"},"uses_additional_data":false},{"leaderboard":"/sota/node-property-prediction-on-ogbn-products","task":"Node Property Prediction","dataset":"ogbn-products","model":"Node2vec","rank_in_archive_order":60,"of":64,"metrics":{"Ext. data":"No","Number of params":"313612207","Test Accuracy":"0.7249 ± 0.0010","Validation Accuracy":"0.9032 ± 0.0006"},"uses_additional_data":false},{"leaderboard":"/sota/node-property-prediction-on-ogbn-proteins","task":"Node Property Prediction","dataset":"ogbn-proteins","model":"Node2vec","rank_in_archive_order":26,"of":26,"metrics":{"Ext. data":"No","Number of params":"17094000","Test ROC-AUC":"0.6881 ± 0.0065","Validation ROC-AUC":"0.7007 ± 0.0053"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1607.00653","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1607.00653"}},"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/eliorc/node2vec","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Robotmurlock/Deepwalk-and-Node2vec","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/urielsinger/ctdne","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/olety/TIMLinUCB","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/shenweichen/GraphEmbedding","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/cvg/scrstudio","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/thibaudmartinez/node2vec","reach":{"status":"ok","spdx":"Apache-2.0"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/TheJacksonLaboratory/N2V","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/Nina-Konovalova/TSP-RL-Skoltech_project","reach":{"status":"unanswered"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/razrLeLe/fastwalk","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/icd-codex/icd-codex","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/printfer/CS6490_NetworkSecurity_FinalProject","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/dmlc/dgl/tree/master/examples/pytorch/node2vec","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/monarch-initiative/embiggen","reach":{"status":"ok","spdx":"BSD-3-Clause"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/rusty1s/pytorch_cluster","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/fahrbach/icml-2020-faster-graph-embeddings","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/urielsinger/fairwalk","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/WiktorJ/msnode2vec","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/aditya-grover/node2vec","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/benedekrozemberczki/karateclub","reach":{"status":"ok","spdx":"GPL-3.0"}}],"summary":{"ran":4,"ran_fixture":1,"ran_draft_wrong":1,"ran_honours":2,"unverified":17},"by_repo_kind":{"listed":{"samples":23,"ran":7,"repositories":11}},"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":3,"samples":[{"code_sha256_prefix":"61d87751f700a525","entry":"Graph","repo":"WiktorJ/msnode2vec","repo_kind":"listed","path":"src3/node2vec.py","file_url":"https://github.com/WiktorJ/msnode2vec/blob/HEAD/src3/node2vec.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"61d87751f700a525"}},{"code_sha256_prefix":"8eb7ee072d5f2738","entry":"Node2Vec","repo":"Robotmurlock/Deepwalk-and-Node2vec","repo_kind":"listed","path":"shallow_encoders/graph/random_walk_generator.py","file_url":"https://github.com/Robotmurlock/Deepwalk-and-Node2vec/blob/HEAD/shallow_encoders/graph/random_walk_generator.py","link_basis":"first_harvest_node","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"8eb7ee072d5f2738"}},{"code_sha256_prefix":"9e04436adf3455c1","entry":"alias_draw","repo":"WiktorJ/msnode2vec","repo_kind":"listed","path":"src3/node2vec.py","file_url":"https://github.com/WiktorJ/msnode2vec/blob/HEAD/src3/node2vec.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9e04436adf3455c1"}},{"code_sha256_prefix":"0c0ee39ba8faec97","entry":"approximate_normalized_graph_laplacian","repo":"fahrbach/icml-2020-faster-graph-embeddings","repo_kind":"listed","path":"src/classification/NetMF.py","file_url":"https://github.com/fahrbach/icml-2020-faster-graph-embeddings/blob/HEAD/src/classification/NetMF.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0c0ee39ba8faec97"}},{"code_sha256_prefix":"abcc32e0f84c4724","entry":"evd_deepwalk_matrix","repo":"fahrbach/icml-2020-faster-graph-embeddings","repo_kind":"listed","path":"src/classification/NetMF.py","file_url":"https://github.com/fahrbach/icml-2020-faster-graph-embeddings/blob/HEAD/src/classification/NetMF.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"abcc32e0f84c4724"}},{"code_sha256_prefix":"61d600be2b025f26","entry":"load_adjacency_matrix","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":"well_formed","behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"61d600be2b025f26"}},{"code_sha256_prefix":"c64c9a3a66a1d0c8","entry":"merge_methods","repo":"cvg/scrstudio","repo_kind":"listed","path":"scrstudio/configs/method_configs.py","file_url":"https://github.com/cvg/scrstudio/blob/HEAD/scrstudio/configs/method_configs.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"c64c9a3a66a1d0c8"}},{"code_sha256_prefix":"06036a2535dc9b18","entry":"sort_methods","repo":"cvg/scrstudio","repo_kind":"listed","path":"scrstudio/configs/method_configs.py","file_url":"https://github.com/cvg/scrstudio/blob/HEAD/scrstudio/configs/method_configs.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"06036a2535dc9b18"}},{"code_sha256_prefix":"fdf62a385c9c3c79","entry":"RandomWalk","repo":"Robotmurlock/Deepwalk-and-Node2vec","repo_kind":"listed","path":"shallow_encoders/graph/random_walk_generator.py","file_url":"https://github.com/Robotmurlock/Deepwalk-and-Node2vec/blob/HEAD/shallow_encoders/graph/random_walk_generator.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":"fdf62a385c9c3c79"}},{"code_sha256_prefix":"0f462717a557f615","entry":"alias_setup","repo":"WiktorJ/msnode2vec","repo_kind":"listed","path":"src3/node2vec.py","file_url":"https://github.com/WiktorJ/msnode2vec/blob/HEAD/src3/node2vec.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":"0f462717a557f615"}},{"code_sha256_prefix":"fa97591fdcd9e8c2","entry":"build_icd9_hierarchy","repo":"icd-codex/icd-codex","repo_kind":"listed","path":"icdcodex/datacleaning.py","file_url":"https://github.com/icd-codex/icd-codex/blob/HEAD/icdcodex/datacleaning.py","link_basis":"harvester_set","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":"fa97591fdcd9e8c2"}},{"code_sha256_prefix":"18bd96cd5e6b659a","entry":"build_icd9_hierarchy_from_url","repo":"icd-codex/icd-codex","repo_kind":"listed","path":"icdcodex/datacleaning.py","file_url":"https://github.com/icd-codex/icd-codex/blob/HEAD/icdcodex/datacleaning.py","link_basis":"harvester_set","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":"18bd96cd5e6b659a"}},{"code_sha256_prefix":"7706b10825b13220","entry":"generate_node2vec_fetures","repo":"olety/TIMLinUCB","repo_kind":"listed","path":"timlinucb.py","file_url":"https://github.com/olety/TIMLinUCB/blob/HEAD/timlinucb.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"7706b10825b13220"}},{"code_sha256_prefix":"595ace8a8dae3b1d","entry":"get_features_nodes","repo":null,"repo_kind":null,"path":null,"file_url":null,"link_basis":"identical_code_first_harvested_elsewhere","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":null,"inline_ok":false,"mcp_get_code":{"code_sha256":"595ace8a8dae3b1d"}},{"code_sha256_prefix":"db538a57b89ffc55","entry":"icd10cm","repo":"icd-codex/icd-codex","repo_kind":"listed","path":"icdcodex/hierarchy.py","file_url":"https://github.com/icd-codex/icd-codex/blob/HEAD/icdcodex/hierarchy.py","link_basis":"harvester_set","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":"db538a57b89ffc55"}},{"code_sha256_prefix":"443f57bf3337dc32","entry":"is_symmetric","repo":"thibaudmartinez/node2vec","repo_kind":"listed","path":"node2vec/helpers.py","file_url":"https://github.com/thibaudmartinez/node2vec/blob/HEAD/node2vec/helpers.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"443f57bf3337dc32"}},{"code_sha256_prefix":"2565edc5f1658e6e","entry":"netmf_large","repo":"fahrbach/icml-2020-faster-graph-embeddings","repo_kind":"listed","path":"src/classification/NetMF.py","file_url":"https://github.com/fahrbach/icml-2020-faster-graph-embeddings/blob/HEAD/src/classification/NetMF.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":"2565edc5f1658e6e"}},{"code_sha256_prefix":"99d796c0f6439641","entry":"node2vec_random_walk","repo":"dmlc/dgl","repo_kind":"listed","path":"python/dgl/sampling/node2vec_randomwalk.py","file_url":"https://github.com/dmlc/dgl/blob/HEAD/python/dgl/sampling/node2vec_randomwalk.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"99d796c0f6439641"}},{"code_sha256_prefix":"bab88306f9266ce9","entry":"normalize_model_list_parameter","repo":"TheJacksonLaboratory/N2V","repo_kind":"listed","path":"embiggen/utils/normalize_model_structural_parameters.py","file_url":"https://github.com/TheJacksonLaboratory/N2V/blob/HEAD/embiggen/utils/normalize_model_structural_parameters.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"bab88306f9266ce9"}},{"code_sha256_prefix":"473e754191aea19d","entry":"normalize_model_ragged_list_parameter","repo":"TheJacksonLaboratory/N2V","repo_kind":"listed","path":"embiggen/utils/normalize_model_structural_parameters.py","file_url":"https://github.com/TheJacksonLaboratory/N2V/blob/HEAD/embiggen/utils/normalize_model_structural_parameters.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"BSD-3-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"473e754191aea19d"}},{"code_sha256_prefix":"0834e8f66ab35dac","entry":"parallel_generate_walks","repo":"urielsinger/ctdne","repo_kind":"listed","path":"CTDNE/parallel.py","file_url":"https://github.com/urielsinger/ctdne/blob/HEAD/CTDNE/parallel.py","link_basis":"harvester_set","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":"0834e8f66ab35dac"}},{"code_sha256_prefix":"9d36caa2def1ee2f","entry":"parallel_generate_walks","repo":"urielsinger/fairwalk","repo_kind":"listed","path":"fairwalk/parallel.py","file_url":"https://github.com/urielsinger/fairwalk/blob/HEAD/fairwalk/parallel.py","link_basis":"harvester_set","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":"9d36caa2def1ee2f"}},{"code_sha256_prefix":"86b0fba57294202e","entry":"to_immutable_dict","repo":"cvg/scrstudio","repo_kind":"listed","path":"scrstudio/configs/config_utils.py","file_url":"https://github.com/cvg/scrstudio/blob/HEAD/scrstudio/configs/config_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"86b0fba57294202e"}},{"code_sha256_prefix":"bfbbb40daca9a6f9","entry":"weighted_gm","repo":"cvg/scrstudio","repo_kind":"listed","path":"scrstudio/model_components/losses.py","file_url":"https://github.com/cvg/scrstudio/blob/HEAD/scrstudio/model_components/losses.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"bfbbb40daca9a6f9"}},{"code_sha256_prefix":"8eaf4c1833454e08","entry":"wv_to_numpy_array","repo":"thibaudmartinez/node2vec","repo_kind":"listed","path":"node2vec/helpers.py","file_url":"https://github.com/thibaudmartinez/node2vec/blob/HEAD/node2vec/helpers.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"mcp_get_code":{"code_sha256":"8eaf4c1833454e08"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}