{"id":"W4307261735","doi":"10.36227/techrxiv.21342033","title":"Heterogeneous Graph Neural Network with Time Sequence Information Integration","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Recommender system; Collaborative filtering; Graph; Information retrieval; Recurrent neural network; Data mining; Artificial neural network; Artificial intelligence; Machine learning; 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":[0.0005282442,0.0008801395,0.001090885,0.000886714,0.0004073441,0.0009345257,0.001514692,0.001198155,0.00244019],"category_scores_gemma":[0.002151495,0.000580066,0.0007796962,0.001487963,0.0005497236,0.001801252,0.0008878384,0.001454794,0.0003980322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001556775,"about_ca_system_score_gemma":0.0008968679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03729645,"about_ca_topic_score_gemma":0.03014424,"domain_scores_codex":[0.9996036,0.00007537685,0.00002238886,0.000161552,0.00007110829,0.00006603265],"domain_scores_gemma":[0.9994532,0.0002667626,0.0000702013,0.00004593848,0.0001328964,0.00003101628],"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":[0.00006487785,0.00004957327,0.0006172634,0.00003674173,0.00004925001,0.00007788335,0.00002809652,0.9478156,0.0004900168,0.007875581,0.001149564,0.04174551],"study_design_scores_gemma":[0.000001475222,0.00000373744,0.00004003778,8.642661e-7,0.000003249721,0.000002380682,0.000001092762,0.9984702,0.00004341752,0.001345612,0.00008626662,0.00000157146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06407401,0.001800795,0.9250457,0.0008782143,0.0002361587,0.00006478858,0.0005914715,0.001204692,0.006104116],"genre_scores_gemma":[0.9202278,0.0006840681,0.06845705,0.000289646,0.00009400812,0.0001209051,0.0008530949,0.00007729697,0.009196131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03729645,"threshold_uncertainty_score":0.07415873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247411582560568,"score_gpt":0.2444828777574564,"score_spread":0.2220087619318508,"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."}}