{"id":"W4381620677","doi":"10.1016/j.knosys.2023.110739","title":"Exploring attention mechanism for graph similarity learning","year":2023,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Graph; Pairwise comparison; Theoretical computer science; Similarity (geometry); Similarity learning; Graph embedding; Null model; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008182551,0.0002534461,0.000310627,0.0004561987,0.000505587,0.0002006683,0.0006814854,0.0001014507,8.69559e-7],"category_scores_gemma":[0.0001390916,0.0002553984,0.0002406071,0.001794859,0.00003044623,0.0006927861,0.0001475929,0.000272758,0.0001498598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007576872,"about_ca_system_score_gemma":0.0000490886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001019988,"about_ca_topic_score_gemma":0.00001467248,"domain_scores_codex":[0.9977714,0.0002271793,0.0004056692,0.0006800202,0.0002820458,0.0006337003],"domain_scores_gemma":[0.9982799,0.0005081802,0.0001763886,0.0005674126,0.0003162634,0.000151831],"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":[0.00007043061,0.0002572895,0.002939994,0.001604564,0.0001496746,0.00007837562,0.001435285,0.1859011,0.02675761,0.7407359,0.004366853,0.03570287],"study_design_scores_gemma":[0.0008317411,0.0001847762,0.0005047207,0.0002629849,0.00001430915,0.00000461931,0.0001408405,0.982541,0.00263494,0.007865974,0.004585603,0.0004285191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03138541,0.000181386,0.9609418,0.0001936509,0.004367334,0.0007402914,0.00000425394,0.001894105,0.0002917505],"genre_scores_gemma":[0.994367,0.00002410767,0.003586604,0.00003327386,0.0003616493,0.000895798,0.00002717619,0.00004554958,0.0006588477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9629816,"threshold_uncertainty_score":0.9999898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280583460162482,"score_gpt":0.292276261869324,"score_spread":0.1642179158530759,"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."}}