CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs

Davide Buffelli, Farzin Soleymani, Bastian Rieck

Graph neural networks have become the default choice by practitioners for graph learning tasks such as graph classification and node classification. Nevertheless, popular graph neu…