{"id":"W4412876892","doi":"10.1145/3711896.3737132","title":"SMA-GNN: A Symbol-Aware Graph Neural Network for Signed Link Prediction in Recommender Systems","year":2025,"lang":"en","type":"article","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; Link (geometry); Symbol (formal); Recommender system; Artificial neural network; Graph; Artificial intelligence; Machine learning; Theoretical computer science; Computer network","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":[0.0005140028,0.0009701137,0.0008200954,0.0009663799,0.0004532639,0.0005520565,0.001970161,0.001334885,0.002810118],"category_scores_gemma":[0.00304708,0.0005287389,0.0006751447,0.001005167,0.0004604685,0.00150787,0.0009615233,0.001642234,0.001215446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009123519,"about_ca_system_score_gemma":0.0008413779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146594,"about_ca_topic_score_gemma":0.03185866,"domain_scores_codex":[0.9996952,0.00007383636,0.00001570612,0.0001180577,0.00006264403,0.0000345132],"domain_scores_gemma":[0.9993744,0.0002730258,0.00006091448,0.0001022493,0.000149571,0.00003995948],"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":[0.0002537207,0.0002570101,0.004127804,0.0002122777,0.0001447681,0.0001625646,0.0001464891,0.4719869,0.005995075,0.01065861,0.01670615,0.4893486],"study_design_scores_gemma":[0.000006842525,0.00001872599,0.0002083919,0.000007712188,0.000009863502,0.00001704569,0.000006546541,0.9945592,0.0005399164,0.003940723,0.0006788296,0.000006190095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04428797,0.001172659,0.9438006,0.0007259576,0.0002294077,0.0001341655,0.001211695,0.005051602,0.00338587],"genre_scores_gemma":[0.6251553,0.0007285178,0.3595989,0.000782591,0.0001705457,0.0002382596,0.003498794,0.0003020347,0.009525095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0146594,"threshold_uncertainty_score":0.02914816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618228963767115,"score_gpt":0.2561724045905201,"score_spread":0.2399901149528489,"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."}}