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Exphormer: Sparse Transformers for Graphs
v1v2 (latest)

Exphormer: Sparse Transformers for Graphs

International Conference on Machine Learning (ICML), 2023
10 March 2023
Hamed Shirzad
A. Velingker
B. Venkatachalam
Danica J. Sutherland
A. Sinop
ArXiv (abs)PDFHTMLHuggingFace (2 upvotes)Github (180★)

Papers citing "Exphormer: Sparse Transformers for Graphs"

50 / 106 papers shown
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
Cunquan Qu
289
0
0
24 Dec 2025
Short-Range Oversquashing
Short-Range Oversquashing
Yaaqov Mishayev
Yonatan Sverdlov
Tal Amir
Nadav Dym
171
0
0
25 Nov 2025
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
Thomas Cook
Kelly Patel
Sivapriya Vellaichamy
Udari Madhushani Sehwag
Saba Rahimi
Zhen Zeng
Sumitra Ganesh
LLMAG
277
0
0
10 Nov 2025
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
Taihelong Zeng
Yun Lin
Yuhe Shi
Yan Li
Zhiqing Wei
Xuanru Ji
276
0
0
07 Nov 2025
Relieving the Over-Aggregating Effect in Graph Transformers
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun
Wanxing Chang
Chenxue Yang
Qingming Huang
Shuhui Wang
137
0
0
24 Oct 2025
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework
Yujie Xing
Xiao Wang
Bin Wu
Hai Huang
C. Shi
148
0
0
21 Oct 2025
Chimera: State Space Models Beyond Sequences
Chimera: State Space Models Beyond Sequences
Aakash Lahoti
Tanya Marwah
Ratish Puduppully
Albert Gu
MambaGNNAI4CE
258
1
0
14 Oct 2025
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
Shuaicheng Zhang
Haohui Wang
Junhong Lin
Xiaojie Guo
Yada Zhu
Si Zhang
Dongqi Fu
Dawei Zhou
130
2
0
13 Oct 2025
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
Zhaolin Hu
Kun Li
Hehe Fan
Yi Yang
147
0
0
12 Oct 2025
Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
Y. Gao
Xingcheng Fu
Qingyun Sun
Jianxin Li
Xianxian Li
DiffM
204
0
0
06 Oct 2025
Wavelet-Induced Rotary Encodings: RoPE Meets Graphs
Wavelet-Induced Rotary Encodings: RoPE Meets Graphs
Isaac Reid
Arijit Sehanobish
Cedrik Höfs
Bruno Mlodozeniec
Leonhard Vulpius
Federico Barbero
Adrian Weller
K. Choromanski
Richard Turner
Petar Velickovic
204
0
0
26 Sep 2025
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
Hunjae Lee
Corey Clark
85
0
0
23 Sep 2025
Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study
Exploring the Global-to-Local Attention Scheme in Graph Transformers: An Empirical Study
Zhengwei Wang
Gang Wu
161
0
0
18 Sep 2025
State Space Models over Directed Graphs
State Space Models over Directed Graphs
Junzhi She
Xunkai Li
Rong-Hua Li
Guoren Wang
185
0
0
17 Sep 2025
Scaling Graph Transformers: A Comparative Study of Sparse and Dense Attention
Scaling Graph Transformers: A Comparative Study of Sparse and Dense Attention
Leon Dimitrov
GNN
83
0
0
24 Aug 2025
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
Zian Zhai
Fan Li
Xingyu Tan
Xiaoyang Wang
Wenjie Zhang
MQ
157
0
0
08 Aug 2025
Invariant Graph Transformer for Out-of-Distribution Generalization
Invariant Graph Transformer for Out-of-Distribution Generalization
Tianyin Liao
Ziwei Zhang
Yufei Sun
Chunyu Hu
Jianxin Li
OOD
176
1
0
01 Aug 2025
GraphTorque: Torque-Driven Rewiring Graph Neural Network
GraphTorque: Torque-Driven Rewiring Graph Neural Network
Sujia Huang
Lele Fu
Zhen Cui
Tong Zhang
Na Song
Bo Huang
217
0
0
29 Jul 2025
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities
Itay Niv
Neta Rabin
OOD
174
0
0
25 Jun 2025
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations
Milad Ramezankhani
Janak M. Patel
A. Deodhar
Dagnachew Birru
AI4CE
187
2
0
16 Jun 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
Improving the Effective Receptive Field of Message-Passing Neural Networks
Shahaf E. Finder
Ron Shapira Weber
Moshe Eliasof
Oren Freifeld
Eran Treister
251
0
0
29 May 2025
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse Data
A Physics-Augmented GraphGPS Framework for the Reconstruction of 3D Riemann Problems from Sparse DataComputer Methods in Applied Mechanics and Engineering (CMAME), 2025
Rami Cassia
Rich Kerswell
AI4CE
249
0
0
27 May 2025
Hypergraph Mamba for Efficient Whole Slide Image Understanding
Hypergraph Mamba for Efficient Whole Slide Image Understanding
Jiaxuan Lu
Yuhui Lin
Yuhui Lin
Fang Yan
Yue Gao
Shaoting Zhang
Xiaosong Wang
Mamba
481
0
0
23 May 2025
TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction
TxPert: Leveraging Biochemical Relationships for Out-of-Distribution Transcriptomic Perturbation Prediction
Frederik Wenkel
Wilson Tu
Cassandra Masschelein
Hamed Shirzad
Cian Eastwood
...
Jiarui Ding
Marta M. Fay
Berton Earnshaw
Emmanuel Noutahi
Alisandra K. Denton
OODD
307
5
0
20 May 2025
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
Zhibiao Wang
Yunlong Zhou
Ziwei Zhang
Mengmei Zhang
Shirui Pan
Chunming Hu
Xiao Wang
259
0
0
19 May 2025
Relational Graph Transformer
Relational Graph Transformer
Vijay Prakash Dwivedi
Sri Jaladi
Yangyi Shen
Federico López
Charilaos I. Kanatsoulis
Rishi Puri
Matthias Fey
Jure Leskovec
377
6
0
16 May 2025
Schreier-Coset Graph Propagation
Schreier-Coset Graph Propagation
Aryan Mishra
Lizhen Lin
277
0
0
15 May 2025
SFi-Former: Sparse Flow Induced Attention for Graph Transformer
SFi-Former: Sparse Flow Induced Attention for Graph TransformerInternational Conference on Multimedia Retrieval (ICMR), 2025
Hao Sun
J. Q. Shi
Xinming Zhang
Miao Zhang
B. Li
302
0
0
29 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang
Changyu Liu
Yingzhen Yang
DiffMGNN
434
1
0
16 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement
Huidong Liang
Haitz Sáez de Ocáriz Borde
Baskaran Sripathmanathan
Michael M. Bronstein
Xiaowen Dong
GNN
446
8
0
12 Mar 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
Shu Wu
Qifeng Bai
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
492
13
0
23 Feb 2025
Simple Path Structural Encoding for Graph Transformers
Simple Path Structural Encoding for Graph Transformers
Louis Airale
Antonio Longa
Mattia Rigon
Baptiste Caramiaux
Roberto Passerone
605
2
0
13 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
602
0
0
13 Feb 2025
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph TransformerInternational Conference on Learning Representations (ICLR), 2025
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Xiwei Xu
Chengqi Zhang
Yaochu Jin
324
6
0
13 Feb 2025
What makes a good feedforward computational graph?
What makes a good feedforward computational graph?
Alex Vitvitskyi
J. G. Araújo
Marc Lackenby
Petar Velickovic
365
6
0
10 Feb 2025
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang
Wenbo Li
Shoufa Chen
Chongjian Ge
Peize Sun
Yunke Zhang
Yi Jiang
Zehuan Yuan
Binyue Peng
Ping Luo
DiffMVGen
572
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07 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
Xiang Wang
Muhan Zhang
451
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04 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at ScaleInternational Conference on Learning Representations (ICLR), 2025
Ziyang Zheng
Shan Huang
Jianyuan Zhong
Zhengyuan Shi
Guohao Dai
Ningyi Xu
Qiang Xu
GNN
423
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02 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed
Andrew Cheng
Qiang Ye
Q. Cheng
GNN
283
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0
01 Feb 2025
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Graph Neural Networks Need Cluster-Normalize-Activate ModulesNeural Information Processing Systems (NeurIPS), 2024
Arseny Skryagin
Felix Divo
Mohammad Amin Ali
Devendra Singh Dhami
Kristian Kersting
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230
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05 Dec 2024
Even Sparser Graph Transformers
Even Sparser Graph TransformersNeural Information Processing Systems (NeurIPS), 2024
Hamed Shirzad
Honghao Lin
B. Venkatachalam
A. Velingker
David P. Woodruff
Danica J. Sutherland
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363
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25 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz
Ali Parviz
Mahdi Karami
Clayton Sanford
Bryan Perozzi
Vahab Mirrokni
432
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23 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive
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A Theory for Compressibility of Graph Transformers for Transductive Learning
Hamed Shirzad
Honghao Lin
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David P. Woodruff
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20 Nov 2024
Towards Dynamic Message Passing on Graphs
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Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
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Scalable Message Passing Neural Networks: No Need for Attention in Large
  Graph Representation Learning
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
Artem Lukoianov
Anastasis Kratsios
Michael M. Bronstein
Xiaowen Dong
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249
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Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
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Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
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Homomorphism Counts as Structural Encodings for Graph Learning
Homomorphism Counts as Structural Encodings for Graph LearningInternational Conference on Learning Representations (ICLR), 2024
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Deep Equilibrium Algorithmic Reasoning
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G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
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