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SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
International Conference on Machine Learning (ICML), 2022
25 March 2022
Christopher Morris
Gaurav Rattan
Sandra Kiefer
Siamak Ravanbakhsh
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Papers citing
"SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks"
29 / 29 papers shown
Weisfeiler-Leman Features for Planning: A 1,000,000 Sample Size Hyperparameter Study
Dillon Z. Chen
205
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0
25 Aug 2025
Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Sohir Maskey
Raffaele Paolino
Fabian Jogl
Gitta Kutyniok
Johannes F. Lutzeyer
335
2
0
16 May 2025
Group Downsampling with Equivariant Anti-aliasing
International Conference on Learning Representations (ICLR), 2025
Md Ashiqur Rahman
Raymond A. Yeh
369
5
0
24 Apr 2025
Permutation Equivariant Neural Networks for Symmetric Tensors
Edward Pearce-Crump
500
2
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
521
6
0
03 Jul 2024
Scalable Expressiveness through Preprocessed Graph Perturbations
Danial Saber
Amirali Salehi-Abari
372
3
0
17 Jun 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar-Shalom
Beatrice Bevilacqua
Haggai Maron
AI4CE
364
12
0
13 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters
International Conference on Machine Learning (ICML), 2024
Billy J. Franks
Christopher Morris
A. Velingker
Floris Geerts
551
15
0
12 Feb 2024
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation
Neural Information Processing Systems (NeurIPS), 2024
Lingxiao Zhao
Xueying Ding
Leman Akoglu
DiffM
311
22
0
06 Feb 2024
Towards Principled Graph Transformers
Luis Muller
Daniel Kusuma
Blai Bonet
Christopher Morris
513
10
0
18 Jan 2024
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks
Xiran Qu
Xuequn Shang
Yupei Zhang
297
3
0
15 Dec 2023
Truly Scale-Equivariant Deep Nets with Fourier Layers
Neural Information Processing Systems (NeurIPS), 2023
Md Ashiqur Rahman
Raymond A. Yeh
300
16
0
06 Nov 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
509
138
0
07 Jun 2023
Fine-grained Expressivity of Graph Neural Networks
Neural Information Processing Systems (NeurIPS), 2023
Jan Böker
Ron Levie
Ningyuan Huang
Soledad Villar
Christopher Morris
400
29
0
06 Jun 2023
Making Vision Transformers Truly Shift-Equivariant
Computer Vision and Pattern Recognition (CVPR), 2023
Renan A. Rojas-Gomez
Teck-Yian Lim
Minh N. Do
Raymond A. Yeh
ViT
449
22
0
25 May 2023
Fisher Information Embedding for Node and Graph Learning
International Conference on Machine Learning (ICML), 2023
Dexiong Chen
Paolo Pellizzoni
Karsten Borgwardt
GNN
327
4
0
12 May 2023
Equivariant Polynomials for Graph Neural Networks
International Conference on Machine Learning (ICML), 2023
Omri Puny
Derek Lim
B. Kiani
Haggai Maron
Y. Lipman
360
41
0
22 Feb 2023
Is Distance Matrix Enough for Geometric Deep Learning?
Neural Information Processing Systems (NeurIPS), 2023
Zian Li
Xiyuan Wang
Yinan Huang
Muhan Zhang
343
26
0
11 Feb 2023
WL meet VC
Christopher Morris
Floris Geerts
Jan Tönshoff
Martin Grohe
355
36
0
26 Jan 2023
Weisfeiler and Leman Go Relational
LOG IN (LOG IN), 2022
Pablo Barceló
Mikhail Galkin
Christopher Morris
Miguel Romero Orth
GNN
193
35
0
30 Nov 2022
A Practical, Progressively-Expressive GNN
Neural Information Processing Systems (NeurIPS), 2022
Lingxiao Zhao
Louis Härtel
Neil Shah
Leman Akoglu
358
24
0
18 Oct 2022
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Neural Information Processing Systems (NeurIPS), 2022
Renan A. Rojas-Gomez
Teck-Yian Lim
Alex Schwing
Minh Do
Raymond A. Yeh
289
20
0
14 Oct 2022
Ordered Subgraph Aggregation Networks
Neural Information Processing Systems (NeurIPS), 2022
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
443
75
0
22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries
Neural Information Processing Systems (NeurIPS), 2022
Fabrizio Frasca
Beatrice Bevilacqua
Michael M. Bronstein
Haggai Maron
386
157
0
22 Jun 2022
Agent-based Graph Neural Networks
International Conference on Learning Representations (ICLR), 2022
Karolis Martinkus
Pál András Papp
Benedikt Schesch
Roger Wattenhofer
LLMAG
GNN
364
28
0
22 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm
Meng Liu
Haiyang Yu
Shuiwang Ji
379
4
0
04 Jun 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
International Conference on Learning Representations (ICLR), 2022
Derek Lim
Joshua Robinson
Lingxiao Zhao
Tess E. Smidt
S. Sra
Haggai Maron
Stefanie Jegelka
761
193
0
25 Feb 2022
Weisfeiler and Leman go Machine Learning: The Story so far
Journal of machine learning research (JMLR), 2021
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
560
139
0
18 Dec 2021
Hyperbolic Graph Convolutional Neural Networks
Neural Information Processing Systems (NeurIPS), 2019
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
537
816
0
28 Oct 2019
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