{"id":"W3090314173","doi":"10.3233/faia200308","title":"Link Prediction by Analyzing Common Neighbors Based Subgraphs Using Convolutional Neural Network","year":2020,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Convolutional neural network; Link (geometry); Computer science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003678823,0.001004777,0.0005569468,0.002792885,0.0004725737,0.00056036,0.00107079,0.0007056843,0.001224204],"category_scores_gemma":[0.001767391,0.0003735443,0.0006601391,0.001670595,0.0004122733,0.001601751,0.0006255565,0.0008942035,0.0004881816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137142,"about_ca_system_score_gemma":0.0007284398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0304248,"about_ca_topic_score_gemma":0.05397733,"domain_scores_codex":[0.9997395,0.00003490283,0.00001465917,0.0000925926,0.00007343156,0.00004498209],"domain_scores_gemma":[0.9992831,0.0002642283,0.0001404615,0.00009804186,0.0001704756,0.00004366601],"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":[0.0002955134,0.0002471479,0.02780515,0.0002162771,0.0002588099,0.0003658077,0.0001507092,0.6227198,0.009362861,0.006371561,0.01145154,0.3207549],"study_design_scores_gemma":[0.000004410256,0.00001603823,0.001638842,0.00001035959,0.00002499076,0.00003846608,0.00001865079,0.9921968,0.001881982,0.003365342,0.0007982148,0.000005977671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4680353,0.002841708,0.5070021,0.0008254961,0.0001474811,0.0002032627,0.003825767,0.00805973,0.009059266],"genre_scores_gemma":[0.9128913,0.0005577364,0.07688529,0.000163537,0.00005465608,0.00006740596,0.005457252,0.0001400312,0.003782883],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0304248,"threshold_uncertainty_score":0.06049544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03215277069577847,"score_gpt":0.2695331497449887,"score_spread":0.2373803790492102,"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."}}