{"id":"W4392774981","doi":"10.1093/comnet/cnae003","title":"Unsupervised framework for evaluating and explaining structural node embeddings of graphs","year":2024,"lang":"en","type":"article","venue":"Journal of Complex Networks","topic":"Advanced Graph Neural Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Embedding; Node (physics); Theoretical computer science; Graph; Set (abstract data type); Data mining; Artificial intelligence","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":[0.00339535,0.001179129,0.0009304442,0.005420888,0.0004445946,0.00195078,0.002050697,0.001956973,0.001435242],"category_scores_gemma":[0.01528093,0.00047188,0.0009601589,0.002783046,0.001348103,0.003581567,0.001597306,0.001596496,0.0005377275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001478847,"about_ca_system_score_gemma":0.0007709155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002654517,"about_ca_topic_score_gemma":0.004381939,"domain_scores_codex":[0.9978331,0.0008783874,0.0001239615,0.000572357,0.0004552887,0.0001368699],"domain_scores_gemma":[0.991994,0.004509693,0.001166885,0.0008968672,0.001192967,0.0002395396],"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":[0.000430751,0.0003078171,0.01749331,0.0004187518,0.0004126652,0.0002028769,0.000439105,0.6795462,0.00663786,0.05612736,0.006134259,0.2318492],"study_design_scores_gemma":[0.000007153363,0.00003594765,0.0008336771,0.0000166236,0.00001551159,0.00003701444,0.00003224989,0.9750863,0.0008280707,0.02263275,0.0004642011,0.00001044544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.074555,0.0005714575,0.9213838,0.0002753384,0.00003647583,0.0001149147,0.0006907235,0.001035795,0.001336477],"genre_scores_gemma":[0.7614515,0.0003274464,0.2337378,0.00008920651,0.00008806067,0.0001874871,0.002492267,0.0002207404,0.001405384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005420888,"threshold_uncertainty_score":0.01795655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05218198339797898,"score_gpt":0.3594490573058519,"score_spread":0.3072670739078729,"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."}}