Equivariant Polynomials for Graph Neural Networks

22 February 2023

Papers citing "Equivariant Polynomials for Graph Neural Networks"

22 / 22 papers shown

Title
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 169 1 0 14 Mar 2025
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions? Xiang Wang Yang Liu Lexi Pang Siwei Chen Muhan Zhang DiffM 345 0 0 04 Feb 2025
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 158 4 0 28 Oct 2024
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 106 563 0 25 May 2022
Expressiveness and Approximation Properties of Graph Neural Networks Floris Geerts Juan L. Reutter 50 66 0 10 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 75 40 0 25 Mar 2022
Nested Graph Neural Networks Muhan Zhang Pan Li 76 167 0 25 Oct 2021
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 53 46 0 28 Oct 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs Matthias Fey Jan-Gin Yuen F. Weichert GNN 73 86 0 22 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 109 430 0 16 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 385 939 0 02 Mar 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 94 312 0 14 Feb 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 68 237 0 08 Feb 2020
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 106 29 0 09 Oct 2019
On Universal Equivariant Set Networks Nimrod Segol Y. Lipman 3DPC 97 64 0 06 Oct 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 78 281 0 29 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 85 128 0 24 May 2019
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes Yang You Jing Li Sashank J. Reddi Jonathan Hseu Sanjiv Kumar Srinadh Bhojanapalli Xiaodan Song J. Demmel Kurt Keutzer Cho-Jui Hsieh ODL 214 993 0 01 Apr 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 110 261 0 06 Mar 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 177 1,630 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 220 7,623 0 01 Oct 2018
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 508 7,431 0 04 Apr 2017