Dylan Sandfelder

Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks

2021

Graph neural networks (GNNs) have achieved remarkable success as a framework for deep learning on graph-structured data. However, GNNs are fundamentally limited by their tree-structured inductive bias: the WL-subtree kernel formulation bounds the representational capacity …