PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network

28 November 2023

Papers citing "PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network"

4 / 4 papers shown

Title
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xuben Wang Muhan Zhang 107 0 0 04 Feb 2025
Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang 40 0 0 13 Oct 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 32 5 0 03 Feb 2024
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 84 47 0 22 Oct 2022