← Search

Fabio Vandin

2 accepted papers

2023

Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract)

IJCAI 2023poster

Causal discovery from observational data provides candidate causal relationships that need to be validated with ad-hoc experiments. Such experiments usually require major resources, and suitable techniques should therefore be applied to identify candidate relations while limiting false positives. L…

2022

SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks

NeurIPS 2022accept

In the past few years, graph neural networks (GNNs) have become the de facto model of choice for graph classification. While, from the theoretical viewpoint, most GNNs can operate on graphs of any size, it is empirically observed that their classification performance degrades when they are applied o…