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Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding

Enhancing Graph Transformers with Hierarchical Distance Structural Encoding

22 August 2023
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
ArXivPDFHTML

Papers citing "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"

13 / 13 papers shown
Title
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
Hongkang Li
Yihua Zhang
Shuai Zhang
M. Wang
Sijia Liu
Pin-Yu Chen
MoMe
55
2
0
15 Apr 2025
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu
Zhigang Hua
Yan Xie
Jin Fang
Si Zhang
Kaan Sancak
Hao Wu
Andrey Malevich
Jingrui He
Bo Long
26
18
0
24 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
86
23
0
02 Mar 2024
SGFormer: Simplifying and Empowering Transformers for Large-Graph
  Representations
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations
Qitian Wu
Wen-Long Zhao
Chenxiao Yang
Hengrui Zhang
Fan Nie
Haitian Jiang
Yatao Bian
Junchi Yan
AI4CE
33
74
0
19 Jun 2023
Hierarchical Transformer for Scalable Graph Learning
Hierarchical Transformer for Scalable Graph Learning
Wenhao Zhu
Tianyu Wen
Guojie Song
Xiaojun Ma
Liang Wang
30
13
0
04 May 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
69
74
0
02 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
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
182
304
0
15 Oct 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
166
1,095
0
27 Apr 2021
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
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
828
0
28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
226
1,935
0
09 Jun 2018
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