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A Survey on Structure-Preserving Graph Transformers

A Survey on Structure-Preserving Graph Transformers

29 January 2024
Van Thuy Hoang
O-Joun Lee
ArXivPDFHTML

Papers citing "A Survey on Structure-Preserving Graph Transformers"

6 / 6 papers shown
Title
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
11
0
0
09 Sep 2024
Hierarchical Graph Transformer with Adaptive Node Sampling
Hierarchical Graph Transformer with Adaptive Node Sampling
Zaixin Zhang
Qi Liu
Qingyong Hu
Cheekong Lee
58
82
0
08 Oct 2022
Deformable Graph Transformer
Deformable Graph Transformer
Jinyoung Park
Seongjun Yun
Hyeon-ju Park
Jaewoo Kang
Jisu Jeong
KyungHyun Kim
Jung-Woo Ha
Hyunwoo J. Kim
75
7
0
29 Jun 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
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
179
304
0
15 Oct 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
173
907
0
02 Mar 2020
1