{"id":"W3213304991","doi":"","title":"Robust Counterfactual Explanations on Graph Neural Networks","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; McMaster University","funders":"","keywords":"Counterfactual thinking; Computer science; Overfitting; Intuition; Artificial intelligence; Graph; Machine learning; Artificial neural network; Correlation; Theoretical computer science; 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":[0.002352117,0.001115729,0.0009220791,0.001856039,0.0006564042,0.001229425,0.001639132,0.00169968,0.002846742],"category_scores_gemma":[0.02225443,0.0005663881,0.001285997,0.001068808,0.001808637,0.002750069,0.00147852,0.002089313,0.000276444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866702,"about_ca_system_score_gemma":0.001057608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00554519,"about_ca_topic_score_gemma":0.007924274,"domain_scores_codex":[0.9980879,0.0009594531,0.00008720566,0.0004472407,0.000317306,0.0001007477],"domain_scores_gemma":[0.9823247,0.01431271,0.001374387,0.001072495,0.00067297,0.0002426972],"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":[0.0002167422,0.00007089452,0.005115434,0.0002962272,0.000182439,0.0003765307,0.0002772085,0.7997323,0.00104675,0.1094844,0.00385468,0.07934644],"study_design_scores_gemma":[0.00001904861,0.00001328624,0.0003677376,0.00002261313,0.00001755637,0.00002735451,0.00001732531,0.8394455,0.0003731838,0.1591839,0.000501769,0.00001059084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09803846,0.0009751733,0.8928301,0.00234368,0.00008914771,0.0001252088,0.001016019,0.001791525,0.002790756],"genre_scores_gemma":[0.8607786,0.0004364969,0.1350488,0.0004382238,0.0001160321,0.0001749736,0.001512673,0.0001492264,0.001344957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00554519,"threshold_uncertainty_score":0.0135439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172777720974386,"score_gpt":0.1912368161013935,"score_spread":0.07395904400395485,"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."}}