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Extending the Design Space of Graph Neural Networks by Rethinking
  Folklore Weisfeiler-Lehman

Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman

5 June 2023
Jiarui Feng
Lecheng Kong
Hao Liu
Dacheng Tao
Fuhai Li
Muhan Zhang
Yixin Chen
ArXivPDFHTML

Papers citing "Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman"

13 / 13 papers shown
Title
Plain Transformers Can be Powerful Graph Learners
Plain Transformers Can be Powerful Graph Learners
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip Torr
Mark J. Coates
28
0
0
22 May 2025
Theoretical Insights into Line Graph Transformation on Graph Learning
Theoretical Insights into Line Graph Transformation on Graph Learning
Fan Yang
Xingyue Huang
41
0
0
21 Oct 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
6
0
12 Jul 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large
  graph and language models
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
Jiarui Feng
Hao Liu
Lecheng Kong
Yixin Chen
Muhan Zhang
45
2
0
20 Jun 2024
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
15
112
0
29 Sep 2023
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
40
19
0
16 Aug 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
76
80
0
02 Mar 2023
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
84
47
0
22 Oct 2022
Geodesic Graph Neural Network for Efficient Graph Representation
  Learning
Geodesic Graph Neural Network for Efficient Graph Representation Learning
Lecheng Kong
Yixin Chen
Muhan Zhang
GNN
AI4CE
148
21
0
06 Oct 2022
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
130
78
0
01 Oct 2021
The expressive power of kth-order invariant graph networks
The expressive power of kth-order invariant graph networks
Floris Geerts
131
37
0
23 Jul 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
917
0
02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
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
231
1,780
0
02 Mar 2017
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