{"id":"W3120491054","doi":"10.1145/3424672","title":"Knowledge Graph Embedding for Link Prediction","year":2021,"lang":"en","type":"article","venue":"ACM Transactions on Knowledge Discovery from Data","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":476,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Variety (cybernetics); Embedding; Link (geometry); Graph; Scale (ratio); Knowledge graph; Data science; Machine learning; Data mining; Artificial intelligence; Theoretical computer science","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":[0.001166327,0.001616835,0.001066593,0.005101556,0.0006195268,0.001677924,0.001806926,0.001522693,0.005325116],"category_scores_gemma":[0.01310774,0.0004635409,0.0008989808,0.005936936,0.0005482244,0.004817743,0.001373057,0.00197378,0.003182352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008345653,"about_ca_system_score_gemma":0.00129753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006439603,"about_ca_topic_score_gemma":0.009317739,"domain_scores_codex":[0.9982754,0.0003791427,0.0001117435,0.0005762422,0.0005585456,0.00009890614],"domain_scores_gemma":[0.9929838,0.004046838,0.0005855557,0.001444301,0.0008199135,0.0001195538],"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":[0.0001773007,0.0002822046,0.007204503,0.0007703234,0.0002234612,0.0001986126,0.0001673307,0.1762987,0.002172216,0.0213937,0.03528995,0.7558216],"study_design_scores_gemma":[0.00001907525,0.00007008718,0.00154271,0.0001420028,0.00007975237,0.0002312628,0.0001117621,0.9130898,0.003819365,0.06280353,0.01806149,0.00002918315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03308751,0.006256744,0.9295486,0.001097339,0.0003032034,0.0002986421,0.0102201,0.00946766,0.009720197],"genre_scores_gemma":[0.4394885,0.003700154,0.5207769,0.0004367583,0.0002938997,0.0002922476,0.02822595,0.0005918446,0.00619373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006439603,"threshold_uncertainty_score":0.01781428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06056504407758513,"score_gpt":0.3279314449345395,"score_spread":0.2673664008569543,"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."}}