High-Order Pooling for Graph Neural Networks with Tensor Decomposition

High-Order Pooling for Graph Neural Networks with Tensor Decomposition

24 May 2022

Guillaume Rabusseau

Jian Tang

Papers citing "High-Order Pooling for Graph Neural Networks with Tensor Decomposition"

6 / 6 papers shown

Title
Hypergraph Neural Sheaf Diffusion: A Symmetric Simplicial Set Framework for Higher-Order Learning Seongjin Choi Gahee Kim Yong-Geun Oh 26 0 0 09 May 2025
Effective Protein-Protein Interaction Exploration with PPIretrieval Chenqing Hua Connor W. Coley Guy Wolf Doina Precup Shuangjia Zheng 33 3 0 06 Feb 2024
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Y. Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 53 19 0 22 Jan 2023
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 23 10 0 29 Nov 2022
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016