{"id":"W4290948538","doi":"10.1145/3534678.3542907","title":"Deep Learning on Graphs","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Deep learning; Computer science; Artificial intelligence; Data science; Intersection (aeronautics); Deep neural networks; Machine learning; Engineering","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":[0.0006908387,0.0007609062,0.0007432129,0.001376984,0.0004647213,0.001821163,0.001130905,0.001324291,0.006621999],"category_scores_gemma":[0.005249441,0.0005054132,0.0008864115,0.001559623,0.001303081,0.003773816,0.001778673,0.002853735,0.001767562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563803,"about_ca_system_score_gemma":0.0008685174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006351808,"about_ca_topic_score_gemma":0.009346667,"domain_scores_codex":[0.999359,0.0002091385,0.00002983516,0.0001754015,0.0001595242,0.00006721429],"domain_scores_gemma":[0.9984364,0.0008854551,0.0001115018,0.0002570274,0.0002203728,0.00008922074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005826293,0.00005129206,0.001167987,0.000364921,0.00007752312,0.000128709,0.0001463729,0.3169974,0.001395263,0.4855643,0.03504261,0.1590053],"study_design_scores_gemma":[0.000008753789,0.00001366068,0.0002890148,0.00006791841,0.000009484882,0.00003786197,0.00003065454,0.3919261,0.0004803124,0.5932946,0.01383193,0.000009739748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01582435,0.004214719,0.9571762,0.00455948,0.0002887179,0.00006757639,0.001996568,0.001355401,0.01451702],"genre_scores_gemma":[0.5837772,0.01561211,0.3547617,0.002821511,0.0006807973,0.000352497,0.008352163,0.0006995688,0.03294245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006621999,"threshold_uncertainty_score":0.02215278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078984420871935,"score_gpt":0.2884883085391278,"score_spread":0.2376984643304084,"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."}}