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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"

6 / 106 papers shown
Learning Probabilistic Symmetrization for Architecture Agnostic
  Equivariance
Learning Probabilistic Symmetrization for Architecture Agnostic EquivarianceNeural Information Processing Systems (NeurIPS), 2023
Jinwoo Kim
Tien Dat Nguyen
Ayhan Suleymanzade
Hyeokjun An
Seunghoon Hong
398
28
0
05 Jun 2023
Clarify Confused Nodes via Separated Learning
Clarify Confused Nodes via Separated LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jiajun Zhou
Sheng Gong
Chenxuan Xie
Shanqing Yu
Qi Xuan
Xiaoniu Yang
Xiaoniu Yang
507
8
0
04 Jun 2023
HiGen: Hierarchical Graph Generative Networks
HiGen: Hierarchical Graph Generative NetworksInternational Conference on Learning Representations (ICLR), 2023
Mahdi Karami
286
5
0
30 May 2023
Energy Transformer
Energy TransformerNeural Information Processing Systems (NeurIPS), 2023
Benjamin Hoover
Yuchen Liang
Bao Pham
Yikang Shen
Hendrik Strobelt
Duen Horng Chau
Mohammed J Zaki
Dmitry Krotov
ViT
333
71
0
14 Feb 2023
A Generalization of ViT/MLP-Mixer to Graphs
A Generalization of ViT/MLP-Mixer to GraphsInternational Conference on Machine Learning (ICML), 2022
Xiaoxin He
Bryan Hooi
T. Laurent
Adam Perold
Yann LeCun
Xavier Bresson
249
122
0
27 Dec 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.4K
1,105
0
02 Mar 2020
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