SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks

25 March 2022

Papers citing "SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks"

34 / 34 papers shown

Title
Group Downsampling with Equivariant Anti-aliasing Md Ashiqur Rahman Raymond A. Yeh 65 1 0 24 Apr 2025
Permutation Equivariant Neural Networks for Symmetric Tensors Edward Pearce-Crump 46 0 0 14 Mar 2025
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 22 1 0 17 Jun 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 20 6 0 13 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters Billy J. Franks Christopher Morris A. Velingker Floris Geerts 48 9 0 12 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao Xueying Ding L. Akoglu DiffM 8 8 0 06 Feb 2024
Towards Principled Graph Transformers Luis Muller Daniel Kusuma Blai Bonet Christopher Morris 18 3 0 18 Jan 2024
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks Xiran Qu Xuequn Shang Yupei Zhang 6 2 0 15 Dec 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers Md Ashiqur Rahman Raymond A. Yeh 42 8 0 06 Nov 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning Jianfei Li Ruigang Zheng Han Feng Ming Li Xiaosheng Zhuang 28 49 0 07 Jun 2023
Fine-grained Expressivity of Graph Neural Networks Jan Böker Ron Levie Ningyuan Huang Soledad Villar Christopher Morris 17 20 0 06 Jun 2023
Making Vision Transformers Truly Shift-Equivariant Renan A. Rojas-Gomez Teck-Yian Lim Minh N. Do Raymond A. Yeh ViT 14 7 0 25 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten M. Borgwardt GNN 16 2 0 12 May 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 19 31 0 22 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning? Zian Li Xiyuan Wang Yinan Huang Muhan Zhang 25 16 0 11 Feb 2023
WL meet VC Christopher Morris Floris Geerts Jan Tonshoff Martin Grohe 28 26 0 26 Jan 2023
Weisfeiler and Leman Go Relational Pablo Barceló Mikhail Galkin Christopher Morris Miguel Romero Orth GNN 29 27 0 30 Nov 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah L. Akoglu 13 17 0 18 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks Renan A. Rojas-Gomez Teck-Yian Lim A. Schwing Minh Do Raymond A. Yeh 21 9 0 14 Oct 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 20 56 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 16 124 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 10 17 0 22 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 24 1 0 04 Jun 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 20 138 0 25 Feb 2022
Weisfeiler and Leman go Machine Learning: The Story so far Christopher Morris Y. Lipman Haggai Maron Bastian Alexander Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten M. Borgwardt GNN 24 110 0 18 Dec 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 120 78 0 01 Oct 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing Jan Toenshoff Martin Ritzert Hinrikus Wolf Martin Grohe GNN 73 27 0 17 Feb 2021
The expressive power of kth-order invariant graph networks Floris Geerts 123 37 0 23 Jul 2020
Graph Homomorphism Convolution Hoang NT Takanori Maehara 58 39 0 03 May 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 159 1,748 0 02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,801 0 25 Nov 2016