{"id":"W4390504488","doi":"10.31237/osf.io/uhzyd","title":"Addressing the Limitations of Graph Neural Networks on Node-level Tasks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Smoothing; Graph; Theoretical computer science; Artificial intelligence; Homophily; Deep learning; Artificial neural network; Machine learning; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003000545,0.001461876,0.001097477,0.000820211,0.000604457,0.002192733,0.002748963,0.00249416,0.003528027],"category_scores_gemma":[0.01794086,0.0005373501,0.0005774279,0.001533126,0.001608241,0.008169892,0.00253875,0.004443357,0.001885328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122139,"about_ca_system_score_gemma":0.00136611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007675144,"about_ca_topic_score_gemma":0.01222863,"domain_scores_codex":[0.9984885,0.0005549398,0.00006609746,0.0003930398,0.000380205,0.0001172604],"domain_scores_gemma":[0.9935069,0.004307315,0.0002456689,0.0009691709,0.0007477546,0.0002231288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002738061,0.0001310689,0.002725184,0.0008802311,0.0002118512,0.0001467238,0.0003050758,0.352001,0.004741384,0.128153,0.02516078,0.4852699],"study_design_scores_gemma":[0.00001414543,0.0000428088,0.0004877646,0.00007079576,0.00002263986,0.00005405426,0.00008211669,0.7967256,0.001514211,0.1939117,0.007058785,0.00001535914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04477424,0.01003566,0.9161428,0.01161844,0.0006103236,0.0001123679,0.0007117477,0.001938526,0.01405604],"genre_scores_gemma":[0.6622692,0.01326914,0.3052999,0.002557555,0.0009132957,0.000231789,0.001746867,0.0006070704,0.01310515],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007675144,"threshold_uncertainty_score":0.0158686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351599297886663,"score_gpt":0.3315244164259858,"score_spread":0.0963644866373195,"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."}}