{"id":"W4322730971","doi":"10.1109/tkde.2023.3238993","title":"Semi-Supervised Entity Alignment With Global Alignment and Local Information Aggregation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Knowledge and Data Engineering","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Software Development Environment","keywords":"Computer science; Merge (version control); Knowledge graph; Forcing (mathematics); Data mining; Theoretical computer science; Artificial intelligence; Information retrieval; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001055024,0.0001387467,0.0001013712,0.0001006251,0.000117895,0.00009936243,0.0002455312,0.00004368259,0.000001515036],"category_scores_gemma":[0.000001681721,0.0001275603,0.00001373482,0.0005269676,0.0000254971,0.001675806,0.00002191978,0.00009449396,0.00001905313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005022096,"about_ca_system_score_gemma":0.00001530478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008179705,"about_ca_topic_score_gemma":0.00002461304,"domain_scores_codex":[0.9992279,0.00001223346,0.000149322,0.0002675629,0.0001487691,0.0001941901],"domain_scores_gemma":[0.999379,0.00004404913,0.00002415484,0.0004270239,0.00002497344,0.0001008049],"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":[0.0000225869,0.00005637258,0.00006568229,0.0001159629,0.00006150823,0.000008942146,0.000542258,0.3085577,0.0001994503,0.001315256,0.0004426922,0.6886116],"study_design_scores_gemma":[0.000425333,0.00007447013,0.0003909968,0.00006982615,0.00001443581,0.0000193131,0.00003442697,0.9951574,0.001398396,0.00006698893,0.002184561,0.0001638231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008523528,0.0001052213,0.9904692,0.00008220686,0.0002858985,0.0001555575,0.00006305361,0.0002751353,0.00004025392],"genre_scores_gemma":[0.9895592,0.0003081061,0.009979864,0.00003709871,0.0000216504,0.00002511769,0.0000473446,0.000006792363,0.00001485647],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9810356,"threshold_uncertainty_score":0.520176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01422343661162221,"score_gpt":0.2399345895411778,"score_spread":0.2257111529295556,"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."}}