{"id":"W7147212645","doi":"10.1109/iccsm66818.2025.00011","title":"HeuGAT: Integrating Heuristic and Graph Attention Network for Improved Link Prediction and Breakup Prediction in Social Network Structures","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Attention network; Breakup; Graph; Link (geometry); Social network (sociolinguistics); Heuristic; Network structure; Network science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009562739,0.001269312,0.0009831492,0.001916361,0.0006361415,0.00120271,0.002144763,0.001590348,0.001934048],"category_scores_gemma":[0.003978721,0.00047871,0.0007542036,0.0009815641,0.0006808605,0.00276536,0.001475167,0.001909796,0.0005518242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172735,"about_ca_system_score_gemma":0.001092419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025478,"about_ca_topic_score_gemma":0.03813703,"domain_scores_codex":[0.9996306,0.00008043761,0.00001455091,0.0001402482,0.00006380038,0.00007041694],"domain_scores_gemma":[0.99878,0.000614798,0.0001442079,0.000149467,0.0001733519,0.0001382794],"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":[0.0003519387,0.0004012906,0.01734194,0.0001915401,0.0002158614,0.0002768888,0.0002422448,0.6723114,0.004477696,0.01020979,0.01144361,0.2825358],"study_design_scores_gemma":[0.000005324459,0.00002326906,0.0003563277,0.000006411368,0.0000111096,0.00001266479,0.00001060298,0.9952512,0.0004184885,0.00359936,0.0002995797,0.000005555846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2506102,0.001998406,0.730352,0.00157066,0.0002865715,0.0002262081,0.001258795,0.008552553,0.005144613],"genre_scores_gemma":[0.9067855,0.0004046496,0.08595754,0.0005644958,0.0001145616,0.0001183576,0.001699917,0.0002072748,0.004147553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02025478,"threshold_uncertainty_score":0.04027379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008024598306539243,"score_gpt":0.2497511939309358,"score_spread":0.2417265956243966,"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."}}