{"id":"W3161822059","doi":"10.24963/ijcai.2021/618","title":"The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Vienna Science and Technology Fund; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Artificial intelligence; Machine learning; Graph isomorphism; Heuristic; Graph; Artificial neural network; Algorithm; Theoretical computer science; Line graph","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":[0.00505123,0.001406733,0.001391704,0.003669924,0.001466045,0.002714555,0.002379174,0.00269297,0.003895133],"category_scores_gemma":[0.02294957,0.0006977205,0.001137283,0.004386602,0.003723365,0.006528497,0.002716348,0.00504243,0.002622465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183456,"about_ca_system_score_gemma":0.001858621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935165,"about_ca_topic_score_gemma":0.00290112,"domain_scores_codex":[0.9963048,0.001975255,0.0001691897,0.0005063354,0.0009112699,0.0001330716],"domain_scores_gemma":[0.9926115,0.005521585,0.0002949715,0.0007055311,0.000738227,0.0001282458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008244081,0.00006031061,0.0006115981,0.0003269889,0.00008493747,0.00009990524,0.0002210061,0.09473235,0.0009043655,0.701349,0.01094693,0.1905801],"study_design_scores_gemma":[0.00001453627,0.00002323262,0.0001467917,0.00007524356,0.00001059889,0.00005586196,0.00002179444,0.2320175,0.0007028423,0.7569037,0.01000343,0.0000244944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002161758,0.002018457,0.9888189,0.001169842,0.000127481,0.00004614451,0.00008858001,0.0003427667,0.005226057],"genre_scores_gemma":[0.1155725,0.005483437,0.8688434,0.001038327,0.0007074111,0.0004532805,0.0005764028,0.0004149676,0.006910372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00505123,"threshold_uncertainty_score":0.02671373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009319551344724326,"score_gpt":0.2315874966513326,"score_spread":0.2222679453066083,"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."}}