{"id":"W2766453196","doi":"10.17863/cam.48429","title":"Graph Attention Networks","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":947,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Computer science; Graph; Attention network; Theoretical computer science; Artificial neural network; Artificial intelligence; Machine learning","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":[0.0001964022,0.0004162483,0.0003835599,0.0002626527,0.0004755677,0.000299891,0.003951175,0.000459204,0.000009016185],"category_scores_gemma":[0.00002102762,0.0004894316,0.0004222105,0.0004320547,0.000204777,0.0008351289,0.003506084,0.001076412,0.0000531378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046382,"about_ca_system_score_gemma":0.00006197824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000450914,"about_ca_topic_score_gemma":0.00004192836,"domain_scores_codex":[0.997492,0.00012826,0.0002084662,0.001517468,0.0001005124,0.0005532499],"domain_scores_gemma":[0.9960863,0.00007648709,0.0005491457,0.002908958,0.0001567702,0.0002223599],"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":[0.00001593019,0.0000429439,0.003533151,0.00002272295,0.00007294442,0.0004770939,0.00001745243,0.8202468,0.00000747131,0.1714703,0.0008701301,0.003222975],"study_design_scores_gemma":[0.000319943,0.00003239765,0.004440421,0.0001160521,0.00004693823,0.000007392797,0.000004590968,0.8028061,0.000006359943,0.1911885,0.0004847323,0.0005465256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03046469,0.0002026525,0.9639569,0.0001243775,0.00223189,0.000297249,0.000004475698,0.0004854827,0.002232296],"genre_scores_gemma":[0.9946767,0.0007305532,0.002224071,0.0001041016,0.0002077796,0.000001361992,0.0000218705,0.00002557834,0.00200796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9642121,"threshold_uncertainty_score":0.9997557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06497125518221562,"score_gpt":0.1940901129282144,"score_spread":0.1291188577459987,"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."}}