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Structure-Aware Transformer for Graph Representation Learning

Structure-Aware Transformer for Graph Representation Learning

7 February 2022
Dexiong Chen
Leslie O’Bray
Karsten M. Borgwardt
ArXivPDFHTML

Papers citing "Structure-Aware Transformer for Graph Representation Learning"

14 / 14 papers shown
Title
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
SA-GAT-SR: Self-Adaptable Graph Attention Networks with Symbolic Regression for high-fidelity material property prediction
Liu Junchi
Tang Ying
Tretiak Sergei
Duan Wenhui
Zhou Liujiang
26
0
0
01 May 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs
Learning Laplacian Positional Encodings for Heterophilous Graphs
Michael Ito
Jiong Zhu
Dexiong Chen
Danai Koutra
Jenna Wiens
71
1
0
29 Apr 2025
Graph Fourier Transformer with Structure-Frequency Information
Graph Fourier Transformer with Structure-Frequency Information
Yonghui Zhai
Yang Zhang
Minghao Shang
Lihua Pang
Yaxin Ren
29
0
0
28 Apr 2025
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
20
1
0
09 Oct 2024
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
Sharing Key Semantics in Transformer Makes Efficient Image Restoration
Bin Ren
Yawei Li
Jingyun Liang
Rakesh Ranjan
Mengyuan Liu
Rita Cucchiara
Luc Van Gool
Ming-Hsuan Yang
N. Sebe
22
3
0
30 May 2024
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
21
5
0
13 Oct 2023
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
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer
Bo Jiang
Fei Xu
Ziyan Zhang
Jin Tang
Feiping Nie
18
3
0
12 May 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
20
139
0
11 Apr 2023
Adaptive Multi-Neighborhood Attention based Transformer for Graph
  Representation Learning
Adaptive Multi-Neighborhood Attention based Transformer for Graph Representation Learning
Gaichao Li
Jinsong Chen
Kun He
10
3
0
15 Nov 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early
  Interaction Networks
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy
Soumen Chakrabarti
A. De
GNN
12
4
0
20 Oct 2022
Recipe for a General, Powerful, Scalable Graph Transformer
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
A. Luu
Guy Wolf
Dominique Beaini
14
506
0
25 May 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
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