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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
Cluster-wise Graph Transformer with Dual-granularity Kernelized
  Attention
Cluster-wise Graph Transformer with Dual-granularity Kernelized AttentionNeural Information Processing Systems (NeurIPS), 2024
Siyuan Huang
Yunchong Song
Jiayue Zhou
Zhouhan Lin
242
10
0
09 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groupsNeural Information Processing Systems (NeurIPS), 2024
B. Kiani
Lukas Fesser
Melanie Weber
GNN
304
4
0
07 Oct 2024
Cayley Graph Propagation
Cayley Graph PropagationLOG IN (LOG IN), 2024
JJ Wilson
Maya Bechler-Speicher
Petar Veličković
487
12
0
04 Oct 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching
GSTAM: Efficient Graph Distillation with Structural Attention-Matching
Arash Rasti-Meymandi
A. Sajedi
Zhaopan Xu
Konstantinos N. Plataniotis
278
0
0
29 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Joint Graph Rewiring and Feature Denoising via Spectral ResonanceInternational Conference on Learning Representations (ICLR), 2024
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
682
3
0
13 Aug 2024
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong-Son Hy
368
0
0
11 Aug 2024
SAMSA: Efficient Transformer for Many Data Modalities
SAMSA: Efficient Transformer for Many Data Modalities
Minh Lenhat
Viet Anh Nguyen
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong-Son Hy
365
1
0
10 Aug 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training
TorchGT: A Holistic System for Large-scale Graph Transformer Training
Mengdie Zhang
Jie Sun
Qi Hu
Yang Liu
Zeke Wang
Yonggang Wen
Tianwei Zhang
GNN
236
6
0
19 Jul 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction
  Augmentation
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation
Wenda Li
Kaixuan Chen
Shunyu Liu
Tongya Zheng
Wenjie Huang
Mingli Song
244
0
0
13 Jul 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Xiwei Xu
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
417
38
0
13 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs
Differential Encoding for Improved Representation Learning over Graphs
Haimin Zhang
Jiahao Xia
Min Xu
360
0
0
03 Jul 2024
Graph in Graph Neural Network
Graph in Graph Neural Network
Jiongshu Wang
Jing Yang
Jiankang Deng
Hatice Gunes
Siyang Song
GNN
228
2
0
30 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future
  Directions
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
Siemen Brussee
Giorgio Buzzanca
Anne M.R. Schrader
Jesper Kers
523
27
0
18 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
265
3
0
17 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node
  Classification
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification
Yuankai Luo
Lei Shi
Xiao-Ming Wu
220
64
0
13 Jun 2024
Attention as a Hypernetwork
Attention as a HypernetworkInternational Conference on Learning Representations (ICLR), 2024
Simon Schug
Seijin Kobayashi
Yassir Akram
João Sacramento
Razvan Pascanu
GNN
273
9
0
09 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
247
11
0
09 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
239
19
0
05 Jun 2024
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
GLADformer: A Mixed Perspective for Graph-level Anomaly Detection
Fan Xu
Nan Wang
Hao Wu
Xuezhi Wen
Dalin Zhang
Siyang Lu
Binyong Li
Wei Gong
Hai Wan
Xibin Zhao
269
7
0
02 Jun 2024
Graph External Attention Enhanced Transformer
Graph External Attention Enhanced Transformer
Jianqing Liang
Min Chen
Jiye Liang
414
8
0
31 May 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
343
16
0
29 May 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
336
12
0
27 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Johan Mathe
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Pavlo Vasylenko
323
6
0
23 May 2024
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
Nian Liu
Xiaoxin He
T. Laurent
Francesco Di Giovanni
Michael M. Bronstein
Xavier Bresson
315
1
0
22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity
Joshua Southern
Francesco Di Giovanni
Michael M. Bronstein
J. Lutzeyer
551
1
0
22 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Distinguished In Uniform: Self Attention Vs. Virtual Nodes
Eran Rosenbluth
Jan Tönshoff
Martin Ritzert
Berke Kisin
Martin Grohe
202
19
0
20 May 2024
Graph as Point Set
Graph as Point SetInternational Conference on Machine Learning (ICML), 2024
Xiyuan Wang
Pan Li
Muhan Zhang
GNN3DPCPINN
388
4
0
05 May 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order
  Graph Transformers
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph TransformersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Cai Zhou
Rose Yu
Yusu Wang
293
11
0
04 Apr 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual ConnectionsInternational Conference on Learning Representations (ICLR), 2024
Dongqi Fu
Zhigang Hua
Yan Xie
Jin Fang
Si Zhang
Kaan Sancak
Hao Wu
Andrey Malevich
Jingrui He
Bo Long
339
39
0
24 Mar 2024
LaB-GATr: geometric algebra transformers for large biomedical surface
  and volume meshes
LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Julian Suk
Baris Imre
J. Wolterink
MedIm
195
14
0
12 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
358
69
0
02 Mar 2024
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly
Gianluca Scarpellini
Stefano Fiorini
Francesco Giuliari
Pietro Morerio
Alessio Del Bue
351
28
0
29 Feb 2024
Locality-Sensitive Hashing-Based Efficient Point Transformer with
  Applications in High-Energy Physics
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics
Siqi Miao
Zhiyuan Lu
Mia Liu
Javier Duarte
Pan Li
416
12
0
19 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
403
114
0
13 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
219
143
0
01 Feb 2024
Graph Transformers without Positional Encodings
Graph Transformers without Positional Encodings
Ayush Garg
323
3
0
31 Jan 2024
A Survey on Structure-Preserving Graph Transformers
A Survey on Structure-Preserving Graph Transformers
Van Thuy Hoang
O-Joun Lee
244
9
0
29 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching
Federico Errica
Henrik Christiansen
Viktor Zaverkin
Takashi Maruyama
Mathias Niepert
Francesco Alesiani
522
19
0
27 Dec 2023
Graph Transformers for Large Graphs
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi
Yozen Liu
Anh Tuan Luu
Xavier Bresson
Neil Shah
Tong Zhao
GNN
185
10
0
18 Dec 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers
Hybrid Focal and Full-Range Attention Based Graph Transformers
Minhong Zhu
Zhenhao Zhao
Weiran Cai
203
0
0
08 Nov 2023
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mirage: Model-Agnostic Graph Distillation for Graph Classification
Mridul Gupta
S. Manchanda
H. Kodamana
Jignesh M. Patel
DD
295
16
0
14 Oct 2023
Non-backtracking Graph Neural Networks
Non-backtracking Graph Neural Networks
Seonghyun Park
Narae Ryu
Ga-Rin Kim
Dongyeop Woo
Se-Young Yun
SungSoo Ahn
279
4
0
11 Oct 2023
Never Train from Scratch: Fair Comparison of Long-Sequence Models
  Requires Data-Driven Priors
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven PriorsInternational Conference on Learning Representations (ICLR), 2023
Ido Amos
Jonathan Berant
Ankit Gupta
494
36
0
04 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks
Probabilistically Rewired Message-Passing Neural NetworksInternational Conference on Learning Representations (ICLR), 2023
Chendi Qian
Andrei Manolache
Kareem Ahmed
Zhe Zeng
Karen Ullrich
Mathias Niepert
Christopher Morris
430
24
0
03 Oct 2023
Cooperative Graph Neural Networks
Cooperative Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Ben Finkelshtein
Xingyue Huang
Michael M. Bronstein
.Ismail .Ilkan Ceylan
GNN
391
51
0
02 Oct 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Jan Tönshoff
Martin Ritzert
Eran Rosenbluth
Martin Grohe
365
75
0
01 Sep 2023
Enhancing Graph Transformers with Hierarchical Distance Structural
  Encoding
Enhancing Graph Transformers with Hierarchical Distance Structural EncodingNeural Information Processing Systems (NeurIPS), 2023
Yuan Luo
Hongkang Li
Lei Shi
Xiao-Ming Wu
409
15
0
22 Aug 2023
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
UGSL: A Unified Framework for Benchmarking Graph Structure Learning
Bahare Fatemi
Sami Abu-El-Haija
Anton Tsitsulin
Seyed Mehran Kazemi
Dustin Zelle
Neslihan Bulut
Jonathan J. Halcrow
Bryan Perozzi
262
11
0
21 Aug 2023
Torsion Graph Neural Networks
Torsion Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Cong Shen
Xiang Liu
Jiawei Luo
Kelin Xia
192
1
0
23 Jun 2023
How does over-squashing affect the power of GNNs?
How does over-squashing affect the power of GNNs?
Francesco Di Giovanni
T. Konstantin Rusch
Michael M. Bronstein
Andreea Deac
Marc Lackenby
Siddhartha Mishra
Petar Velivcković
417
49
0
06 Jun 2023
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