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2405.21061
Cited By
Graph External Attention Enhanced Transformer
31 May 2024
Jianqing Liang
Min Chen
Jiye Liang
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Papers citing
"Graph External Attention Enhanced Transformer"
30 / 30 papers shown
Title
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence
Yuankai Luo
Lei Shi
Xiao-Ming Wu
AI4CE
152
0
0
13 Feb 2025
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark
Jan Tönshoff
Martin Ritzert
Eran Rosenbluth
Martin Grohe
70
53
0
01 Sep 2023
Recipe for a General, Powerful, Scalable Graph Transformer
Ladislav Rampášek
Mikhail Galkin
Vijay Prakash Dwivedi
Anh Tuan Luu
Guy Wolf
Dominique Beaini
106
563
0
25 May 2022
ETA Prediction with Graph Neural Networks in Google Maps
Austin Derrow-Pinion
Jennifer She
David Wong
O. Lange
Todd Hester
...
Ang Li
Zhongwen Xu
Alvaro Sanchez-Gonzalez
Yujia Li
Petar Velivcković
AI4TS
54
228
0
25 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution
Md Shamim Hussain
Mohammed J Zaki
D. Subramanian
ViT
56
126
0
07 Aug 2021
GraphiT: Encoding Graph Structure in Transformers
Grégoire Mialon
Dexiong Chen
Margot Selosse
Julien Mairal
92
167
0
10 Jun 2021
Rethinking Graph Transformers with Spectral Attention
Devin Kreuzer
Dominique Beaini
William L. Hamilton
Vincent Létourneau
Prudencio Tossou
88
535
0
07 Jun 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
63
411
0
17 Mar 2021
Combinatorial optimization and reasoning with graph neural networks
Quentin Cappart
Didier Chételat
Elias Boutros Khalil
Andrea Lodi
Christopher Morris
Petar Velickovic
AI4CE
53
357
0
18 Feb 2021
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
98
747
0
17 Dec 2020
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT
3DPC
127
1,608
0
17 Dec 2020
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Matthias Fey
Jan-Gin Yuen
F. Weichert
GNN
73
86
0
22 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
Stefanos Zafeiriou
M. Bronstein
109
430
0
16 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications
Uri Alon
Eran Yahav
GNN
79
685
0
09 Jun 2020
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
371
938
0
02 Mar 2020
Random Features Strengthen Graph Neural Networks
Ryoma Sato
M. Yamada
H. Kashima
GNN
AAML
65
237
0
08 Feb 2020
Learning Symbolic Physics with Graph Networks
M. Cranmer
Rui Xu
Peter W. Battaglia
S. Ho
PINN
AI4CE
247
86
0
12 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View
Deli Chen
Yankai Lin
Wei Li
Peng Li
Jie Zhou
Xu Sun
78
1,100
0
07 Sep 2019
Strategies for Pre-training Graph Neural Networks
Weihua Hu
Bowen Liu
Joseph Gomes
Marinka Zitnik
Percy Liang
Vijay S. Pande
J. Leskovec
SSL
AI4CE
99
1,398
0
29 May 2019
Relational Pooling for Graph Representations
R. Murphy
Balasubramaniam Srinivasan
Vinayak A. Rao
Bruno Ribeiro
GNN
100
261
0
06 Mar 2019
Fake News Detection on Social Media using Geometric Deep Learning
Federico Monti
Fabrizio Frasca
D. Eynard
Damon Mannion
M. Bronstein
GNN
76
464
0
10 Feb 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
153
1,377
0
15 Nov 2018
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
210
7,623
0
01 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNN
SSL
178
2,820
0
22 Jan 2018
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
418
20,061
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
448
15,179
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
435
7,431
0
04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
573
28,964
0
09 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
288
8,091
0
13 Aug 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
304
7,646
0
30 Jun 2016
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