Are GNNs doomed by the topology of their input graph?

25 February 2025

Papers citing "Are GNNs doomed by the topology of their input graph?"

6 / 6 papers shown

Title
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs Cristian Bodnar Francesco Di Giovanni B. Chamberlain Pietro Lio Michael M. Bronstein 67 177 0 09 Feb 2022
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 78 1,100 0 07 Sep 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 210 7,623 0 01 Oct 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 448 15,179 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 435 7,431 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 573 28,964 0 09 Sep 2016