{"id":"W2964151357","doi":"","title":"Graph Partition Neural Networks for Semi-Supervised Classification","year":2018,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; University of Toronto","funders":"","keywords":"Computer science; Graph partition; Artificial neural network; Partition (number theory); Graph; Artificial intelligence; Pattern recognition (psychology); Theoretical computer science; Machine learning; Mathematics; Combinatorics","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":[0.0001232672,0.000165717,0.0001371086,0.0001264199,0.0003301215,0.00006302915,0.0007344084,0.0001077263,0.00001032397],"category_scores_gemma":[0.00001769033,0.0001837661,0.0001286799,0.001124903,0.0001674975,0.0009599713,0.0001253782,0.0001329823,0.00002035849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004782295,"about_ca_system_score_gemma":0.00001476652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004897314,"about_ca_topic_score_gemma":0.00002596913,"domain_scores_codex":[0.9986693,0.00006962432,0.0001478001,0.0006567133,0.00005659584,0.0003999301],"domain_scores_gemma":[0.9987946,0.0001223305,0.0001175454,0.0006308679,0.0001961035,0.0001385352],"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":[0.0001607437,0.0001098782,0.005714511,0.00001403577,0.00004217355,0.00003037251,0.0001328348,0.285174,0.0008605156,0.6921985,0.002712007,0.01285049],"study_design_scores_gemma":[0.0004935888,0.0001622724,0.002392721,0.000008225832,0.00001555646,0.000003195217,0.00002077806,0.9633765,0.0001681716,0.03255912,0.0005906182,0.0002092834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1174429,0.00002010485,0.8810061,0.0001699044,0.0004799765,0.0002625686,0.000002243439,0.0002774613,0.0003387646],"genre_scores_gemma":[0.9962727,0.00003122491,0.002857012,0.0003701339,0.0002283979,0.000003046535,0.00001296267,0.00001335566,0.000211143],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8788298,"threshold_uncertainty_score":0.7493762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07654905036643554,"score_gpt":0.2011052293609703,"score_spread":0.1245561789945347,"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."}}