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Attending to Graph Transformers

Attending to Graph Transformers

8 February 2023
Luis Muller
Mikhail Galkin
Christopher Morris
Ladislav Rampášek
ArXivPDFHTML

Papers citing "Attending to Graph Transformers"

26 / 26 papers shown
Title
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
Liang Wang
Tingyang Xu
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
51
4
0
23 Feb 2025
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
MVGT: A Multi-view Graph Transformer Based on Spatial Relations for EEG Emotion Recognition
Yanjie Cui
Xiaohong Liu
Jing Liang
Yamin Fu
57
1
0
17 Jan 2025
Symmetries-enhanced Multi-Agent Reinforcement Learning
Symmetries-enhanced Multi-Agent Reinforcement Learning
N. Bousias
Stefanos Pertigkiozoglou
Kostas Daniilidis
George Pappas
AI4CE
73
0
0
02 Jan 2025
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations Assemblage
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
44
2
0
03 Oct 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 Transformers
Cai Zhou
Rose Yu
Yusu Wang
32
7
0
04 Apr 2024
DE-HNN: An effective neural model for Circuit Netlist representation
DE-HNN: An effective neural model for Circuit Netlist representation
Zhishang Luo
Truong Son-Hy
Puoya Tabaghi
Donghyeon Koh
Michael Defferrard
Elahe Rezaei
Ryan Carey
William Rhett Davis
Rajeev Jain
Yusu Wang
16
5
0
30 Mar 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
54
7
0
27 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers!
Graph Convolutions Enrich the Self-Attention in Transformers!
Jeongwhan Choi
Hyowon Wi
Jayoung Kim
Yehjin Shin
Kookjin Lee
Nathaniel Trask
Noseong Park
25
4
0
07 Dec 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey
Dynamic Graph Representation Learning with Neural Networks: A Survey
Leshanshui Yang
Sébastien Adam
Clément Chatelain
AI4TS
AI4CE
34
14
0
12 Apr 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
69
80
0
02 Mar 2023
On the Connection Between MPNN and Graph Transformer
On the Connection Between MPNN and Graph Transformer
Chen Cai
Truong Son-Hy
Rose Yu
Yusu Wang
31
51
0
27 Jan 2023
Expander Graph Propagation
Expander Graph Propagation
Andreea Deac
Marc Lackenby
Petar Velivcković
96
52
0
06 Oct 2022
Periodic Graph Transformers for Crystal Material Property Prediction
Periodic Graph Transformers for Crystal Material Property Prediction
Keqiang Yan
Yi Liu
Yu-Ching Lin
Shuiwang Ji
AI4TS
88
84
0
23 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic
  Graphs
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao
Tess E. Smidt
77
213
0
23 Jun 2022
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs
  in Larger Test Graphs
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs
Yangze Zhou
Gitta Kutyniok
Bruno Ribeiro
OODD
AI4CE
73
37
0
30 May 2022
Your Transformer May Not be as Powerful as You Expect
Your Transformer May Not be as Powerful as You Expect
Shengjie Luo
Shanda Li
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
Di He
52
50
0
26 May 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
GRPE: Relative Positional Encoding for Graph Transformer
GRPE: Relative Positional Encoding for Graph Transformer
Wonpyo Park
Woonggi Chang
Donggeon Lee
Juntae Kim
Seung-won Hwang
39
74
0
30 Jan 2022
Neighbour Interaction based Click-Through Rate Prediction via
  Graph-masked Transformer
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer
Erxue Min
Yu Rong
Tingyang Xu
Yatao Bian
P. Zhao
Junzhou Huang
Da Luo
Kangyi Lin
Sophia Ananiadou
34
32
0
25 Jan 2022
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
A. Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
194
308
0
15 Oct 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
162
123
0
17 Oct 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
262
2,013
0
28 Jul 2020
Heterogeneous Graph Transformer
Heterogeneous Graph Transformer
Ziniu Hu
Yuxiao Dong
Kuansan Wang
Yizhou Sun
185
1,169
0
03 Mar 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
914
0
02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,078
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
148
836
0
28 Sep 2019
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