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On Structural Expressive Power of Graph Transformers

On Structural Expressive Power of Graph Transformers

23 May 2023
Wenhao Zhu
Tianyu Wen
Guojie Song
Liangji Wang
Bo Zheng
ArXivPDFHTML

Papers citing "On Structural Expressive Power of Graph Transformers"

14 / 14 papers shown
Title
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Gongzhu Yin
H. Zhang
Yuchen Yang
Y. Luo
LRM
78
0
0
26 Mar 2025
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human
  Connectomes
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes
Ziquan Wei
Tingting Dan
Jiaqi Ding
Guorong Wu
MedIm
31
0
0
26 Sep 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
29
0
0
26 Aug 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
43
2
0
03 Jul 2024
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
24
2
0
05 Jun 2024
Comparing Graph Transformers via Positional Encodings
Comparing Graph Transformers via Positional Encodings
Mitchell Black
Zhengchao Wan
Gal Mishne
A. Nayyeri
Yusu Wang
21
3
0
22 Feb 2024
Future Directions in the Theory of Graph Machine Learning
Future Directions in the Theory of Graph Machine Learning
Christopher Morris
Fabrizio Frasca
Nadav Dym
Haggai Maron
.Ismail .Ilkan Ceylan
Ron Levie
Derek Lim
Michael M. Bronstein
Martin Grohe
Stefanie Jegelka
AI4CE
30
4
0
03 Feb 2024
Topology-guided Hypergraph Transformer Network: Unveiling Structural
  Insights for Improved Representation
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representation
Khaled Mohammed Saifuddin
M. E. Aktas
Esra Akbas
14
1
0
14 Oct 2023
Transformers are efficient hierarchical chemical graph learners
Transformers are efficient hierarchical chemical graph learners
Zihan Pengmei
Zimu Li
Chih-chan Tien
Risi Kondor
Aaron R Dinner
GNN
16
1
0
02 Oct 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
19
12
0
19 Mar 2023
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
65
82
0
08 Oct 2022
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
39
74
0
30 Jan 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
181
907
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
157
1,748
0
02 Mar 2017
1