Expressive Power of Invariant and Equivariant Graph Neural Networks

28 June 2020

Papers citing "Expressive Power of Invariant and Equivariant Graph Neural Networks"

21 / 21 papers shown

Title
Inference-friendly Graph Compression for Graph Neural Networks Yangxin Fan Haolai Che Yinghui Wu GNN 51 0 0 17 Apr 2025
Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction Giuseppe Alessio DÍnverno Saeid Moradizadeh Sajad Salavatidezfouli Pasquale Claudio Africa G. Rozza AI4CE 31 0 0 04 Oct 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 21 0 0 27 May 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 37 1 0 24 May 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 27 7 0 04 Apr 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 62 1 0 19 Mar 2024
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 40 19 0 16 Aug 2023
A graphon-signal analysis of graph neural networks Ron Levie 24 16 0 25 May 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion Haotian Ju Dongyue Li Aneesh Sharma Hongyang R. Zhang 14 40 0 09 Feb 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 26 63 0 30 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 22 88 0 27 Dec 2022
On the Ability of Graph Neural Networks to Model Interactions Between Vertices Noam Razin Tom Verbin Nadav Cohen 19 10 0 29 Nov 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 76 46 0 22 Oct 2022
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs Silvia Beddar-Wiesing Giuseppe Alessio D’Inverno C. Graziani Veronica Lachi Alice Moallemy-Oureh F. Scarselli J. M. Thomas 19 9 0 08 Oct 2022
On Representing Linear Programs by Graph Neural Networks Ziang Chen Jialin Liu Xinshang Wang Jian Lu W. Yin AI4CE 42 31 0 25 Sep 2022
State-Augmented Learnable Algorithms for Resource Management in Wireless Networks Navid Naderializadeh Mark Eisen Alejandro Ribeiro 14 16 0 05 Jul 2022
Expressiveness and Approximation Properties of Graph Neural Networks Floris Geerts Juan L. Reutter 13 64 0 10 Apr 2022
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 22 174 0 06 Oct 2021
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Universal Equivariant Multilayer Perceptrons Siamak Ravanbakhsh 90 48 0 07 Feb 2020