{"id":"W4412875489","doi":"10.1145/3711896.3736558","title":"Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Deep learning; Artificial intelligence; Data science; Cognitive science; Psychology","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":[0.0000709263,0.00007206795,0.00005856601,0.0001071096,0.0002235923,0.00008637788,0.0001423347,0.00003849564,0.000008891961],"category_scores_gemma":[0.00005977714,0.00006509123,0.0000201727,0.0002218469,0.00003537253,0.0002469837,0.0001066348,0.0001453918,0.000004639191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001203767,"about_ca_system_score_gemma":0.00001539177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002257723,"about_ca_topic_score_gemma":0.00005532826,"domain_scores_codex":[0.9993858,0.0000446724,0.0001068198,0.000254468,0.00009373036,0.0001145301],"domain_scores_gemma":[0.9995781,0.0001613522,0.00003089801,0.0001589584,0.00003730878,0.00003337878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[8.605048e-7,0.000006357641,0.0002094318,0.000002103621,0.000005950871,5.060917e-7,0.0001514316,0.01828859,0.0002593385,0.7458118,0.00006828754,0.2351953],"study_design_scores_gemma":[0.0001723199,0.00003382,0.01459604,0.000007711371,0.000003754838,0.000007536665,0.00001849112,0.8710579,0.0001393083,0.08703968,0.0268026,0.0001208613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005059734,0.001896058,0.9764282,0.007075446,0.0001703577,0.00008560094,7.040718e-8,0.0001643965,0.009120212],"genre_scores_gemma":[0.8783057,0.0003353877,0.1191237,0.0005646467,0.00007597679,0.00001557604,0.000006761637,0.000003883398,0.001568371],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.873246,"threshold_uncertainty_score":0.2654343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06857409214224364,"score_gpt":0.2759725339440909,"score_spread":0.2073984418018473,"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."}}