Open AccessVACA: Designing Variational Graph Autoencoders for Causal Queries
Author(s) -
Pablo Sánchez-Martin,
Miriam Rateike,
Isabel Valera
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i7.20789
Subject(s) - counterfactual thinking , causal inference , graph , computer science , causal model , parametric statistics , confounding , operator (biology) , inference , observational study , artificial intelligence , causal reasoning , machine learning , causal structure , theoretical computer science , algorithm , mathematics , econometrics , psychology , social psychology , biochemistry , statistics , chemistry , cognition , physics , repressor , quantum mechanics , neuroscience , transcription factor , gene
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