{"id":"W3035403290","doi":"10.1145/3397271.3401172","title":"DGL-KE","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Speedup; Parallel computing; Overhead (engineering); Locality; Computation; Key (lock); Theoretical computer science; Algorithm; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008243934,0.00263989,0.001287964,0.001407398,0.000828355,0.00239971,0.00485881,0.002086875,0.05472159],"category_scores_gemma":[0.005643294,0.001233336,0.002317607,0.001885425,0.0008384587,0.004279052,0.003490551,0.003672149,0.03664261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470509,"about_ca_system_score_gemma":0.002156218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00632864,"about_ca_topic_score_gemma":0.01738057,"domain_scores_codex":[0.999195,0.0001363689,0.00005340996,0.0002479114,0.0002380058,0.0001293778],"domain_scores_gemma":[0.9985084,0.0005710907,0.00006256877,0.0004270921,0.0003514635,0.00007931746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004651475,0.0003170468,0.002110978,0.002301568,0.0003814278,0.0004010774,0.00031132,0.09907442,0.004951967,0.04763897,0.5294619,0.3125842],"study_design_scores_gemma":[0.000312455,0.000103205,0.0007480768,0.0001677755,0.00008248971,0.0002868192,0.000175798,0.6710705,0.008322073,0.1074707,0.2111673,0.00009284106],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01031011,0.001635752,0.5695494,0.001309833,0.0005853814,0.0003287663,0.02206413,0.3576753,0.03654119],"genre_scores_gemma":[0.1132444,0.001570587,0.7041836,0.001811585,0.0001224056,0.001253735,0.09426552,0.0466009,0.03694723],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9452784,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202193411362178,"score_gpt":0.2137706386130928,"score_spread":0.191748704499471,"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."}}