{"id":"W3201040314","doi":"10.1109/ijcnn52387.2021.9533416","title":"HRotatE: Hybrid Relational Rotation Embedding for Knowledge Graph","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Embedding; Computer science; Graph embedding; Theoretical computer science; Inverse; Simple (philosophy); Vector space; Graph; Artificial intelligence; Algorithm; Mathematics; Pure 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006079957,0.00232562,0.001167474,0.002823383,0.0005559627,0.001419182,0.001853256,0.001129966,0.005413928],"category_scores_gemma":[0.003666454,0.0006343863,0.001922403,0.00276434,0.0006672833,0.004576129,0.00213983,0.002345152,0.003154168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046644,"about_ca_system_score_gemma":0.001390739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131958,"about_ca_topic_score_gemma":0.02299151,"domain_scores_codex":[0.9989879,0.0002037223,0.00006007509,0.000397693,0.0002734,0.00007721831],"domain_scores_gemma":[0.9988619,0.0002694076,0.0001255499,0.0004773859,0.0001957339,0.00007010352],"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":[0.0003056603,0.0003352168,0.002829884,0.0005465018,0.0002862813,0.00022174,0.0002327697,0.1117039,0.006923616,0.02093629,0.0406091,0.815069],"study_design_scores_gemma":[0.00004523769,0.0001329482,0.001066546,0.00005749894,0.00007072314,0.0002126135,0.000115195,0.944469,0.004714416,0.02946742,0.01958936,0.00005890129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02067761,0.001750839,0.9515222,0.0004081436,0.0002255405,0.0002930556,0.005294165,0.01652683,0.003301749],"genre_scores_gemma":[0.2711074,0.002422075,0.675886,0.0004102899,0.0001777368,0.0004965725,0.03847095,0.001042004,0.009986998],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0131958,"threshold_uncertainty_score":0.02623802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02936679931403568,"score_gpt":0.2961394055398517,"score_spread":0.266772606225816,"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."}}