ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.21061
  4. Cited By
Graph External Attention Enhanced Transformer

Graph External Attention Enhanced Transformer

31 May 2024
Jianqing Liang
Min Chen
Jiye Liang
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
A Generalization of Transformer Networks to Graphs
Vijay Prakash Dwivedi
Xavier Bresson
AI4CE
98
747
0
17 Dec 2020
PCT: Point cloud transformer
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
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
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
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
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
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
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
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
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
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
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
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?
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
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
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
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
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
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
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
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
304
7,646
0
30 Jun 2016
1