{"id":"W3036233147","doi":"10.1007/978-3-030-50433-5_15","title":"Node Classification in Complex Social Graphs via Knowledge-Graph Embeddings and Convolutional Neural Network","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Artificial intelligence; Social network (sociolinguistics); Classifier (UML); Machine learning; Graph; Node (physics); Social network analysis; Embedding; Theoretical computer science; World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005005528,0.0006745599,0.0007241546,0.0007698754,0.0005035738,0.0003715938,0.002330926,0.0004082283,0.000007932888],"category_scores_gemma":[0.00003690537,0.0006946617,0.0001728359,0.00195115,0.001557793,0.0007538651,0.001393849,0.001431897,0.00001431969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217468,"about_ca_system_score_gemma":0.0001982087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008820009,"about_ca_topic_score_gemma":0.0001178822,"domain_scores_codex":[0.9954731,0.00009046311,0.0007342009,0.002046513,0.0007488856,0.000906774],"domain_scores_gemma":[0.997981,0.0005241827,0.0004106574,0.0006303113,0.0002121615,0.0002416807],"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":[0.00005214792,0.00007718737,0.00155497,0.00009857755,0.00003076897,0.000132773,0.002054043,0.1508126,0.0006180205,0.2914935,0.0005771642,0.5524982],"study_design_scores_gemma":[0.0002895108,0.00006656767,0.007131847,0.0000825868,0.000005240183,0.00004104353,1.638342e-7,0.6658285,0.000009588017,0.3255147,0.0005233974,0.0005068695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003459733,0.0008593214,0.9938489,0.002348669,0.001140064,0.0004716712,0.000006309587,0.0002355889,0.0007434941],"genre_scores_gemma":[0.7709366,0.00007772773,0.2247114,0.003162867,0.0009585533,0.00002321279,0.00003406956,0.00005660809,0.00003899298],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7705907,"threshold_uncertainty_score":0.9995505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03233396342822079,"score_gpt":0.2701564825082692,"score_spread":0.2378225190800484,"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."}}