{"id":"W4409814790","doi":"10.1016/j.procs.2025.03.057","title":"Survey of Graph Neural Network Methods for Dynamic Link Prediction","year":2025,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Link (geometry); Graph; Artificial neural network; Artificial intelligence; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001072393,0.00008258245,0.0001143212,0.0002109979,0.00007561089,0.00003803034,0.0003348054,0.00003401366,3.906726e-7],"category_scores_gemma":[0.00004098485,0.00008246625,0.00003154461,0.001133373,0.0001047269,0.0001843002,0.00008431514,0.0000673923,2.429758e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002845976,"about_ca_system_score_gemma":0.00003310766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003993775,"about_ca_topic_score_gemma":0.000007725313,"domain_scores_codex":[0.9992931,0.00002006903,0.0001937919,0.0002000068,0.00009321793,0.0001997934],"domain_scores_gemma":[0.9995502,0.00009599384,0.00002803006,0.0001607131,0.0001300589,0.00003503241],"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":[0.000005776536,0.0000122974,0.001743942,0.0001592943,0.00001771113,7.148048e-8,0.00005503613,0.1053331,0.0005045216,0.001453214,0.008923718,0.8817914],"study_design_scores_gemma":[0.00009124932,0.00003430759,0.08133786,0.00002582861,0.000006704019,3.444194e-7,7.040883e-7,0.9168262,0.0004413367,0.00052419,0.0006571388,0.0000541069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002031358,0.0002073652,0.9933957,0.00004967144,0.002033225,0.000316099,0.0000061755,0.001718661,0.0002416815],"genre_scores_gemma":[0.7219479,0.0000419469,0.2778511,0.00005825648,0.00004010214,0.00004172053,0.000005710167,0.000005312189,0.0000079263],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8817372,"threshold_uncertainty_score":0.3362876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01395218523451331,"score_gpt":0.2975090430065369,"score_spread":0.2835568577720236,"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."}}