activity
20192026
most citedVariational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings

33 citations · 33 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.LG2024

Permutation-based Inference for Variational Learning of Directed Acyclic Graphs

Edwin V. Bonilla, Pantelis Elinas, He Zhao +3

Estimating the structure of Bayesian networks as directed acyclic graphs (DAGs) from observational data is a fundamental challenge, particularly in causal discovery. Bayesian appro…