{"id":"W4306317318","doi":"10.1145/3511808.3557688","title":"Sampling Enclosing Subgraphs for Link Prediction","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Scalability; Computer science; Overhead (engineering); Link (geometry); Graph; Theoretical computer science; Representation (politics); Induced subgraph isomorphism problem; Line graph; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342248,0.0001863302,0.0001455696,0.0004749488,0.0005097811,0.000282941,0.002924609,0.00003797958,0.00004740079],"category_scores_gemma":[0.000160543,0.0001671814,0.0001530225,0.0006312837,0.0000521237,0.001628328,0.002004064,0.0002637911,0.00002103031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187864,"about_ca_system_score_gemma":0.00002651801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001403328,"about_ca_topic_score_gemma":0.000001411102,"domain_scores_codex":[0.998243,0.00001182677,0.0005733282,0.0002706923,0.000657826,0.00024334],"domain_scores_gemma":[0.9981992,0.00007724102,0.0005798942,0.0003405586,0.0007549741,0.00004812532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000665567,0.0000623679,0.000359028,0.0001037659,0.00006824177,2.577423e-8,0.001211093,0.002805201,0.0002737292,0.9504565,0.004497056,0.04009644],"study_design_scores_gemma":[0.001783898,0.0002402136,0.002567913,0.0003542412,0.0000545253,0.00001545473,0.001199611,0.1648245,0.001125542,0.2545092,0.5727246,0.0006002375],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01946172,0.00006166957,0.677238,0.0106515,0.008198593,0.003222151,0.0001626698,0.0006095119,0.2803942],"genre_scores_gemma":[0.9394374,0.00006165777,0.05741103,0.000542359,0.0001666698,0.0006822806,0.00008051239,0.00001515777,0.001602918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9199757,"threshold_uncertainty_score":0.6817459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06510801511284907,"score_gpt":0.3057570359604422,"score_spread":0.2406490208475932,"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."}}