{"id":"W3203331145","doi":"10.48550/arxiv.2110.00577","title":"Reconstruction for Powerful Graph Representations","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Expressive power; Scalability; Computer science; Leverage (statistics); Theoretical computer science; Graph; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001140027,0.0002618261,0.000285043,0.0002806717,0.0002012345,0.0001657289,0.001160863,0.0002582942,0.00001767164],"category_scores_gemma":[0.00005372668,0.0003346024,0.0003830568,0.0009446352,0.0001171948,0.0007192344,0.001049513,0.0004724798,0.000009236406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009884097,"about_ca_system_score_gemma":0.000128791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003063942,"about_ca_topic_score_gemma":0.00005785288,"domain_scores_codex":[0.9979091,0.0001041189,0.0002180411,0.001361818,0.00006988185,0.0003370745],"domain_scores_gemma":[0.9976783,0.0001975657,0.0002838377,0.00138835,0.0003124428,0.0001394895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003713961,0.00008783824,0.002579554,0.00007947121,0.0001790861,0.0002299635,0.0002195486,0.7117126,0.0001392886,0.2763973,0.001038559,0.007299648],"study_design_scores_gemma":[0.00070504,0.00006208509,0.001176175,0.000144752,0.00009550737,0.00005103472,0.0002522421,0.5771884,0.0005521947,0.4185483,0.0004827715,0.0007414565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08842694,0.00009652981,0.9076244,0.0001701237,0.001939978,0.0004243582,0.00001448221,0.0002826337,0.001020547],"genre_scores_gemma":[0.9548218,0.0002864359,0.04356645,0.0001097085,0.0001090958,0.000003739033,0.00005011687,0.00002060153,0.001032019],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8663949,"threshold_uncertainty_score":0.9999106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06471616162971469,"score_gpt":0.2085219120755669,"score_spread":0.1438057504458522,"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."}}