{"id":"W4226101728","doi":"10.1007/s11280-021-00972-6","title":"HOPLoP: multi-hop link prediction over knowledge graph embeddings","year":2021,"lang":"en","type":"article","venue":"World Wide Web","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Computer science; Traverse; Embedding; Knowledge graph; Theoretical computer science; Graph; Margin (machine learning); Generalization; Machine learning; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009604599,0.002191956,0.00129219,0.003479742,0.0007543978,0.001529328,0.002477622,0.002537832,0.01163394],"category_scores_gemma":[0.006360053,0.0009414698,0.001413677,0.002745502,0.0004314289,0.003649581,0.00197418,0.002228061,0.004925952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007918114,"about_ca_system_score_gemma":0.001241613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009551326,"about_ca_topic_score_gemma":0.01767036,"domain_scores_codex":[0.999414,0.00009846609,0.0000334538,0.0002194591,0.0001693199,0.00006538657],"domain_scores_gemma":[0.9982203,0.0009311145,0.00008544485,0.0004841625,0.0001884622,0.00009047525],"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":[0.001102811,0.0008778303,0.006614836,0.0009315627,0.0006675673,0.0005250845,0.000128433,0.1834839,0.004320103,0.007335733,0.1577614,0.6362507],"study_design_scores_gemma":[0.00006132726,0.00006984456,0.0005104893,0.0000346005,0.00005095989,0.0000733269,0.00003037118,0.9790682,0.002045198,0.01331405,0.004722002,0.00001963188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0576008,0.002217635,0.7619345,0.001139533,0.0009847907,0.0007404113,0.04600807,0.124122,0.005252273],"genre_scores_gemma":[0.3535065,0.0009804452,0.5548507,0.0005563891,0.0002651532,0.0007870667,0.07400385,0.002976318,0.01207352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01163394,"threshold_uncertainty_score":0.03891939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586810132797616,"score_gpt":0.2643288682557699,"score_spread":0.2484607669277937,"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."}}