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An Empirical Study of Realized GNN Expressiveness

An Empirical Study of Realized GNN Expressiveness

16 April 2023
Yanbo Wang
Muhan Zhang
ArXivPDFHTML

Papers citing "An Empirical Study of Realized GNN Expressiveness"

14 / 14 papers shown
Title
Simplifying Graph Transformers
Simplifying Graph Transformers
Liheng Ma
Soumyasundar Pal
Yingxue Zhang
Philip H. S. Torr
Mark J. Coates
26
0
0
17 Apr 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
91
0
0
13 Feb 2025
On the Utilization of Unique Node Identifiers in Graph Neural Networks
On the Utilization of Unique Node Identifiers in Graph Neural Networks
Maya Bechler-Speicher
Moshe Eliasof
Carola-Bibiane Schönlieb
Ran Gilad-Bachrach
Amir Globerson
28
0
0
04 Nov 2024
Theoretical Insights into Line Graph Transformation on Graph Learning
Theoretical Insights into Line Graph Transformation on Graph Learning
Fan Yang
Xingyue Huang
32
0
0
21 Oct 2024
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A
  Systematic Analysis
Enhancing GNNs with Architecture-Agnostic Graph Transformations: A Systematic Analysis
Zhifei Li
Gerrit Großmann
V. Wolf
21
0
0
11 Oct 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph
  Representational Learning
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino
Sohir Maskey
Pascal Welke
Gitta Kutyniok
28
2
0
20 Mar 2024
Comparing Graph Transformers via Positional Encodings
Comparing Graph Transformers via Positional Encodings
Mitchell Black
Zhengchao Wan
Gal Mishne
A. Nayyeri
Yusu Wang
24
10
0
22 Feb 2024
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Lecheng Kong
Jiarui Feng
Hao Liu
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
16
11
0
29 Oct 2023
Torsion Graph Neural Networks
Torsion Graph Neural Networks
Cong Shen
Xiang Liu
Jiawei Luo
Kelin Xia
22
0
0
23 Jun 2023
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
Jiarui Feng
Lecheng Kong
Hao Liu
Dacheng Tao
Fuhai Li
Muhan Zhang
Yixin Chen
44
10
0
05 Jun 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
76
46
0
22 Oct 2022
A Theoretical Comparison of Graph Neural Network Extensions
A Theoretical Comparison of Graph Neural Network Extensions
Pál András Papp
Roger Wattenhofer
95
45
0
30 Jan 2022
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
122
78
0
01 Oct 2021
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
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