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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"

4 / 4 papers shown
Title
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 H. S. Torr
Ser-Nam Lim
AI4CE
12
86
0
27 May 2023
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
20
138
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
170
170
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
231
3,230
0
24 Nov 2016
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