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Weisfeiler and Leman Go Infinite: Spectral and Combinatorial
  Pre-Colorings

Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings

31 January 2022
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
ArXivPDFHTML

Papers citing "Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings"

13 / 13 papers shown
Title
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
Jingchu Gai
Yiheng Du
Bohang Zhang
Haggai Maron
Liwei Wang
45
0
0
01 Mar 2025
Learning Efficient Positional Encodings with Graph Neural Networks
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos I. Kanatsoulis
Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
64
1
0
03 Feb 2025
Edge Weight Prediction For Category-Agnostic Pose Estimation
Edge Weight Prediction For Category-Agnostic Pose Estimation
Or Hirschorn
S. Avidan
76
0
0
25 Nov 2024
Foundations and Frontiers of Graph Learning Theory
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
55
2
0
03 Jul 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang
Lingxiao Zhao
Haggai Maron
56
8
0
06 Jun 2024
Cycle Invariant Positional Encoding for Graph Representation Learning
Cycle Invariant Positional Encoding for Graph Representation Learning
Zuoyu Yan
Teng Ma
Liangcai Gao
Zhi Tang
Chao Chen
Yusu Wang
41
5
0
24 Nov 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial
  Complexes
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
Cai Zhou
Xiyuan Wang
Muhan Zhang
38
15
0
30 Oct 2023
Graph Inductive Biases in Transformers without Message Passing
Graph Inductive Biases in Transformers without Message Passing
Liheng Ma
Chen Lin
Derek Lim
Adriana Romero Soriano
P. Dokania
Mark J. Coates
Philip Torr
Ser-Nam Lim
AI4CE
34
85
0
27 May 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power
An Efficient Subgraph GNN with Provable Substructure Counting Power
Zuoyu Yan
Junru Zhou
Liangcai Gao
Zhi Tang
Muhan Zhang
GNN
29
12
0
19 Mar 2023
Generalised Implicit Neural Representations
Generalised Implicit Neural Representations
Daniele Grattarola
P. Vandergheynst
21
30
0
31 May 2022
Sign and Basis Invariant Networks for Spectral Graph Representation
  Learning
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
49
141
0
25 Feb 2022
A Survey on The Expressive Power of Graph Neural Networks
A Survey on The Expressive Power of Graph Neural Networks
Ryoma Sato
184
172
0
09 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1