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Found 2 papers, 1 papers with code
Causally-guided Regularization of Graph Attention Improves Generalizability
Graph attention networks estimate the relational importance of node neighbors to aggregate relevant information over local neighborhoods for a prediction task.
Granger causal inference on DAGs identifies genomic loci regulating transcription
When a dynamical system can be modeled as a sequence of observations, Granger causality is a powerful approach for detecting predictive interactions between its variables.
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