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GraphiT: Encoding Graph Structure in Transformers

GraphiT: Encoding Graph Structure in Transformers

10 June 2021
Grégoire Mialon
Dexiong Chen
Margot Selosse
Julien Mairal
ArXivPDFHTML

Papers citing "GraphiT: Encoding Graph Structure in Transformers"

50 / 118 papers shown
Title
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
17
0
0
16 May 2025
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
Chang Zong
Yueting Zhuang
Jian Shao
Weiming Lu
41
0
0
13 May 2025
POET: Prompt Offset Tuning for Continual Human Action Adaptation
POET: Prompt Offset Tuning for Continual Human Action Adaptation
Prachi Garg
Joseph K J
V. Balasubramanian
Necati Cihan Camgöz
Chengde Wan
Kenrick Kin
Weiguang Si
Shugao Ma
Fernando de la Torre
66
0
0
25 Apr 2025
A Survey of Graph Transformers: Architectures, Theories and Applications
A Survey of Graph Transformers: Architectures, Theories and Applications
Chaohao Yuan
Kangfei Zhao
Ercan Engin Kuruoglu
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
57
4
0
23 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Andrea Passerini
Roberto Passerone
95
0
0
13 Feb 2025
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph Transformer
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Feng Xia
Chengqi Zhang
Yaochu Jin
61
1
0
13 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xuben Wang
Muhan Zhang
107
0
0
04 Feb 2025
Learning Efficient Positional Encodings with Graph Neural Networks
Learning Efficient Positional Encodings with Graph Neural Networks
Charilaos I. Kanatsoulis
Evelyn Choi
Stephanie Jegelka
Jure Leskovec
Alejandro Ribeiro
64
1
0
03 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng
Shan Huang
Qiang Xu
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
89
2
0
02 Feb 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
84
1
0
21 Dec 2024
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
86
0
0
10 Dec 2024
Edge Weight Prediction For Category-Agnostic Pose Estimation
Edge Weight Prediction For Category-Agnostic Pose Estimation
Or Hirschorn
S. Avidan
76
0
0
25 Nov 2024
Even Sparser Graph Transformers
Even Sparser Graph Transformers
Hamed Shirzad
Honghao Lin
B. Venkatachalam
A. Velingker
David P. Woodruff
Danica J. Sutherland
GNN
98
3
0
25 Nov 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
40
0
0
31 Oct 2024
Graph Transformers Dream of Electric Flow
Graph Transformers Dream of Electric Flow
Xiang Cheng
Lawrence Carin
S. Sra
33
0
0
22 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification
Rethinking Graph Transformer Architecture Design for Node Classification
Jiajun Zhou
Xuanze Chen
Chenxuan Xie
Yu Shanqing
Qi Xuan
Xiaoniu Yang
28
0
0
15 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized
  Attention
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention
Siyuan Huang
Yunchong Song
Jiayue Zhou
Zhouhan Lin
33
1
0
09 Oct 2024
Range-aware Positional Encoding via High-order Pretraining: Theory and
  Practice
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
Viet Anh Nguyen
Nhat-Khang Ngô
Truong Son-Hy
AI4CE
27
0
0
27 Sep 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
33
0
0
26 Sep 2024
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
28
0
0
09 Sep 2024
Contrastive Representation Learning for Dynamic Link Prediction in
  Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
32
1
0
22 Aug 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer
Jiahong Ma
Mingguo He
Zhewei Wei
52
2
0
19 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective
  Methods
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
38
1
0
15 Jul 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Feng Xia
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
37
9
0
13 Jul 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
55
2
0
03 Jul 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal
  Graphs
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
J. V. Pichowski
Vincenzo Perri
Lisi Qarkaxhija
Ingo Scholtes
45
0
0
24 Jun 2024
A Scalable and Effective Alternative to Graph Transformers
A Scalable and Effective Alternative to Graph Transformers
Kaan Sancak
Zhigang Hua
Jin Fang
Yan Xie
Andrey Malevich
Bo Long
M. F. Balin
Ümit V. Çatalyürek
48
1
0
17 Jun 2024
GKAN: Graph Kolmogorov-Arnold Networks
GKAN: Graph Kolmogorov-Arnold Networks
Mehrdad Kiamari
Mohammad Kiamari
Bhaskar Krishnamachari
38
39
0
10 Jun 2024
What Can We Learn from State Space Models for Machine Learning on
  Graphs?
What Can We Learn from State Space Models for Machine Learning on Graphs?
Yinan Huang
Siqi Miao
Pan Li
44
7
0
09 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
On the Expressive Power of Spectral Invariant Graph Neural Networks
Bohang Zhang
Lingxiao Zhao
Haggai Maron
56
8
0
06 Jun 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
34
2
0
05 Jun 2024
Graph External Attention Enhanced Transformer
Graph External Attention Enhanced Transformer
Jianqing Liang
Min Chen
Jiye Liang
38
1
0
31 May 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
38
3
0
27 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Mathilde Papillon
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Mustafa Hajij
43
3
0
23 May 2024
Positional Knowledge is All You Need: Position-induced Transformer (PiT)
  for Operator Learning
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning
Junfeng Chen
Kailiang Wu
37
3
0
15 May 2024
Graph as Point Set
Graph as Point Set
Xiyuan Wang
Pan Li
Muhan Zhang
GNN
3DPC
PINN
44
4
0
05 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural
  Networks
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks
Yufei Jin
Xingquan Zhu
53
2
0
02 May 2024
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark J. Coates
37
3
0
21 Apr 2024
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
42
19
0
24 Mar 2024
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware
  Graph Transformer
FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
Dongyeong Hwang
Hyunju Kim
Sunwoo Kim
Kijung Shin
AI4CE
56
2
0
19 Mar 2024
Structural Positional Encoding for knowledge integration in
  transformer-based medical process monitoring
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Christopher Irwin
Marco Dossena
G. Leonardi
Stefania Montani
MedIm
34
0
0
13 Mar 2024
Comparing Graph Transformers via Positional Encodings
Comparing Graph Transformers via Positional Encodings
Mitchell Black
Zhengchao Wan
Gal Mishne
A. Nayyeri
Yusu Wang
37
10
0
22 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph
  Products
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar-Shalom
Beatrice Bevilacqua
Haggai Maron
AI4CE
35
6
0
13 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker
  Identification with PathFormer
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
Zehao Dong
Qihang Zhao
Philip R. O. Payne
Michael Province
C. Cruchaga
Muhan Zhang
Tianyu Zhao
Yixin Chen
Fuhai Li
AI4CE
21
6
0
11 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer
A Graph is Worth KKK Words: Euclideanizing Graph using Pure Transformer
Zhangyang Gao
Daize Dong
Cheng Tan
Jun-Xiong Xia
Bozhen Hu
Stan Z. Li
46
6
0
04 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective
  State Spaces
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
Chloe X. Wang
Oleksii Tsepa
Jun Ma
Bo Wang
Mamba
30
86
0
01 Feb 2024
Graph Transformers without Positional Encodings
Graph Transformers without Positional Encodings
Ayush Garg
27
0
0
31 Jan 2024
A Survey on Structure-Preserving Graph Transformers
A Survey on Structure-Preserving Graph Transformers
Van Thuy Hoang
O-Joun Lee
49
5
0
29 Jan 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Hui Lin
Zhiheng Ma
Xiaopeng Hong
Qinnan Shangguan
Deyu Meng
ViT
47
17
0
08 Jan 2024
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
A. Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
26
8
0
18 Dec 2023
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