{"id":"W3006053005","doi":"10.48550/arxiv.1911.06962","title":"Inductive Relation Prediction by Subgraph Reasoning","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Relation (database); Inductive reasoning; Mathematics; Computer science; Artificial intelligence; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008861404,0.0009209092,0.0006766223,0.001738552,0.0004596889,0.001093038,0.002153838,0.0009343085,0.004662411],"category_scores_gemma":[0.005880491,0.0003996595,0.001031101,0.001357313,0.001080668,0.003914982,0.001504484,0.001775428,0.001398628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009220932,"about_ca_system_score_gemma":0.0009188014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003731694,"about_ca_topic_score_gemma":0.007424028,"domain_scores_codex":[0.9989542,0.0002843956,0.00003988713,0.0003893035,0.0002586031,0.00007356025],"domain_scores_gemma":[0.9969231,0.001863052,0.000202898,0.0006320251,0.000301639,0.00007725474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002049874,0.000280059,0.006147975,0.0003346447,0.0001232653,0.0003175797,0.0002636582,0.3768797,0.006654671,0.08064409,0.01793172,0.5102176],"study_design_scores_gemma":[0.00001036277,0.00001658895,0.000329443,0.00002092244,0.00001852215,0.0000417917,0.00002413584,0.9075771,0.002501797,0.08743826,0.002013535,0.000007507072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04304147,0.0005379629,0.943722,0.000929861,0.00008134832,0.0001123111,0.001032425,0.004383419,0.006159203],"genre_scores_gemma":[0.7074354,0.0004389151,0.2812918,0.0005972191,0.0001176391,0.0001429711,0.004207764,0.0003318398,0.005436487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004662411,"threshold_uncertainty_score":0.01559734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03719935338676308,"score_gpt":0.171996814774414,"score_spread":0.1347974613876509,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}