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Do Transformers Really Perform Bad for Graph Representation?

Do Transformers Really Perform Bad for Graph Representation?

9 June 2021
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
    GNN
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Papers citing "Do Transformers Really Perform Bad for Graph Representation?"

50 / 247 papers shown
Title
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Graph Alignment for Benchmarking Graph Neural Networks and Learning Positional Encodings
Adrien Lagesse
Marc Lelarge
12
0
0
19 May 2025
Wide & Deep Learning for Node Classification
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
38
0
0
04 May 2025
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling
Hyun Lee
Chris Yi
Maminur Islam
B.D.S. Aritra
35
0
0
02 May 2025
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
Alfred Clemedtson
Borun Shi
RALM
68
0
0
07 Apr 2025
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
CL-MFAP: A Contrastive Learning-Based Multimodal Foundation Model for Molecular Property Prediction and Antibiotic Screening
Gen Zhou
Sugitha Janarthanan
Yutong Lu
Pingzhao Hu
47
0
0
16 Feb 2025
ChemDFM-X: Towards Large Multimodal Model for Chemistry
ChemDFM-X: Towards Large Multimodal Model for Chemistry
Zihan Zhao
B. Chen
Jingpiao Li
Lu Chen
Liyang Wen
...
Ziping Wan
Yansi Li
Zhongyang Dai
Xin Chen
Kai Yu
AI4CE
55
3
0
03 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
70
2
0
03 Jan 2025
Graph Transformer Networks for Accurate Band Structure Prediction: An
  End-to-End Approach
Graph Transformer Networks for Accurate Band Structure Prediction: An End-to-End Approach
Weiyi Gong
Tao Sun
Hexin Bai
Jeng-Yuan Tsai
Haibin Ling
Q. Yan
82
0
0
25 Nov 2024
Even Sparser Graph Transformers
Even Sparser Graph Transformers
Hamed Shirzad
Honghao Lin
B. Venkatachalam
A. Velingker
David P. Woodruff
Danica J. Sutherland
GNN
101
3
0
25 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive
  Learning
A Theory for Compressibility of Graph Transformers for Transductive Learning
Hamed Shirzad
Honghao Lin
A. Velingker
B. Venkatachalam
David P. Woodruff
Danica J. Sutherland
83
1
0
20 Nov 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
40
0
0
31 Oct 2024
Scalable Message Passing Neural Networks: No Need for Attention in Large
  Graph Representation Learning
Scalable Message Passing Neural Networks: No Need for Attention in Large Graph Representation Learning
Haitz Sáez de Ocáriz Borde
Artem Lukoianov
Anastasis Kratsios
Michael M. Bronstein
Xiaowen Dong
GNN
43
1
0
29 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on
  Graph Data
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xinze Guan
Bin Yu
Bo Li
35
1
0
10 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Supra-Laplacian Encoding for Transformer on Dynamic Graphs
Yannis Karmim
Marc Lafon
Raphael Fournier SÑiehotta
Nicolas Thome
33
1
0
26 Sep 2024
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Andrei Catalin Coman
Christos Theodoropoulos
Marie-Francine Moens
James Henderson
46
0
0
13 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
35
3
0
31 Jul 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
48
0
0
26 Jul 2024
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for
  Molecular Graph Classification
Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
Jakub Adamczyk
Wojciech Czech
42
2
0
16 Jul 2024
Relaxing Graph Transformers for Adversarial Attacks
Relaxing Graph Transformers for Adversarial Attacks
Philipp Foth
Lukas Gosch
Simon Geisler
Leo Schwinn
Stephan Günnemann
AAML
52
1
0
16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective
  Methods
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
40
1
0
15 Jul 2024
Graph in Graph Neural Network
Graph in Graph Neural Network
Jiongshu Wang
Jing Yang
Jiankang Deng
Hatice Gunes
Siyang Song
GNN
29
1
0
30 Jun 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction
Luhui Cai
Weiming Zeng
Hongyu Chen
Hua Zhang
Yueyang Li
Hongjie Yan
Lingbin Bian
Lingbin Bian
Wai Ting Siok
Nizhuan Wang
MedIm
55
3
0
20 Jun 2024
Generative Inverse Design of Crystal Structures via Diffusion Models
  with Transformers
Generative Inverse Design of Crystal Structures via Diffusion Models with Transformers
Izumi Takahara
Kiyou Shibata
Teruyasu Mizoguchi
DiffM
AI4CE
39
2
0
13 Jun 2024
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschlager
Niklas Kemper
Leon Hetzel
Johanna Sommer
Stephan Günnemann
50
4
0
12 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks
The Intelligible and Effective Graph Neural Additive Networks
Maya Bechler-Speicher
Amir Globerson
Ran Gilad-Bachrach
42
5
0
03 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
42
10
0
31 May 2024
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory
  Prediction
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction
Zhanbo Sun
Caiyin Dong
Ang Ji
Ruibin Zhao
Yu Zhao
58
0
0
30 May 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions
  of PDEs on Geometric Deformations
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations
Ze Cheng
Zhongkai Hao
Xiaoqiang Wang
Jianing Huang
Youjia Wu
Xudan Liu
Yiru Zhao
Songming Liu
Hang Su
AI4CE
40
2
0
27 May 2024
LoGAH: Predicting 774-Million-Parameter Transformers using Graph
  HyperNetworks with 1/100 Parameters
LoGAH: Predicting 774-Million-Parameter Transformers using Graph HyperNetworks with 1/100 Parameters
Xinyu Zhou
Boris Knyazev
Alexia Jolicoeur-Martineau
Jie Fu
AI4CE
45
0
0
25 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Mathilde Papillon
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Mustafa Hajij
43
3
0
23 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable
  Graph Transformers
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers
Wenhao Zhu
Guojie Song
Liangji Wang
Shaoguo Liu
42
0
0
06 May 2024
$\texttt{MiniMol}$: A Parameter-Efficient Foundation Model for Molecular
  Learning
MiniMol\texttt{MiniMol}MiniMol: A Parameter-Efficient Foundation Model for Molecular Learning
Kerstin Klaser
Bla.zej Banaszewski
S. Maddrell-Mander
Callum McLean
Luis Muller
Alipanah Parviz
Shenyang Huang
Andrew Fitzgibbon
AI4CE
48
5
0
23 Apr 2024
Improving Chinese Character Representation with Formation Tree
Improving Chinese Character Representation with Formation Tree
Yang Hong
Yinfei Li
Xiaojun Qiao
Rui Li
Junsong Zhang
VLM
51
1
0
19 Apr 2024
CSA-Trans: Code Structure Aware Transformer for AST
CSA-Trans: Code Structure Aware Transformer for AST
Saeyoon Oh
Shin Yoo
44
1
0
07 Apr 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
41
7
0
04 Apr 2024
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction
A. Young
Fei Wang
D. Wishart
Bo Wang
Hannes L. Röst
Russell Greiner
53
3
0
02 Apr 2024
A Semantic Mention Graph Augmented Model for Document-Level Event
  Argument Extraction
A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction
Jian Zhang
Chang-Qing Yang
Haiping Zhu
Qika Lin
Fangzhi Xu
Jun Liu
44
1
0
12 Mar 2024
Attention is all you need for boosting graph convolutional neural
  network
Attention is all you need for boosting graph convolutional neural network
Yinwei Wu
GNN
36
0
0
10 Mar 2024
A Second Look on BASS -- Boosting Abstractive Summarization with Unified
  Semantic Graphs -- A Replication Study
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study
Osman Alperen Koras
Jorg Schlotterer
Christin Seifert
34
1
0
05 Mar 2024
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for
  Optimized Recommendations
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations
Xinyuan Wang
Liang Wu
Liangjie Hong
Hao Liu
Yanjie Fu
34
18
0
14 Feb 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker
  Identification with PathFormer
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer
Zehao Dong
Qihang Zhao
Philip R. O. Payne
Michael Province
C. Cruchaga
Muhan Zhang
Tianyu Zhao
Yixin Chen
Fuhai Li
AI4CE
33
6
0
11 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular
  Graph Learning with Triplet Graph Transformers
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers
Md Shamim Hussain
Mohammed J Zaki
D. Subramanian
ViT
36
6
0
07 Feb 2024
Graph Neural Machine: A New Model for Learning with Tabular Data
Graph Neural Machine: A New Model for Learning with Tabular Data
Giannis Nikolentzos
Siyun Wang
J. Lutzeyer
Michalis Vazirgiannis
34
0
0
05 Feb 2024
Topology-Informed Graph Transformer
Topology-Informed Graph Transformer
Yuncheol Choi
Sun Woo Park
Minho Lee
Youngho Woo
36
3
0
03 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
32
87
0
01 Feb 2024
LaneGraph2Seq: Lane Topology Extraction with Language Model via
  Vertex-Edge Encoding and Connectivity Enhancement
LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement
Renyuan Peng
Xinyue Cai
Hang Xu
Jiachen Lu
Feng Wen
Wei Zhang
Li Zhang
30
4
0
31 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer
FedGT: Federated Node Classification with Scalable Graph Transformer
Zaixin Zhang
Qingyong Hu
Yang Yu
Weibo Gao
Qi Liu
FedML
46
2
0
26 Jan 2024
Generative Model for Constructing Reaction Path from Initial to Final
  States
Generative Model for Constructing Reaction Path from Initial to Final States
Akihide Hayashi
So Takamoto
Ju Li
Daisuke Okanohara
33
1
0
19 Jan 2024
Graph Elimination Networks
Graph Elimination Networks
Shuo Wang
Ge Cheng
Yun Zhang
AI4CE
GNN
28
0
0
02 Jan 2024
APGL4SR: A Generic Framework with Adaptive and Personalized Global
  Collaborative Information in Sequential Recommendation
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation
Mingjia Yin
Hao Wang
Xiang Xu
Likang Wu
Sirui Zhao
Wei Guo
Yong Liu
Ruiming Tang
Defu Lian
Enhong Chen
LMTD
AI4TS
HAI
49
25
0
06 Nov 2023
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