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Graph-Bert: Only Attention is Needed for Learning Graph Representations
v1v2 (latest)

Graph-Bert: Only Attention is Needed for Learning Graph Representations

15 January 2020
Jiawei Zhang
Haopeng Zhang
Congying Xia
Li Sun
ArXiv (abs)PDFHTML

Papers citing "Graph-Bert: Only Attention is Needed for Learning Graph Representations"

50 / 165 papers shown
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing
Longlong Li
Cunquan Qu
Guanghui Wang
Cunquan Qu
393
0
0
24 Dec 2025
Generalized Graph Transformer Variational Autoencoder
Generalized Graph Transformer Variational Autoencoder
Siddhant Karki
ViTGNN
440
0
0
29 Nov 2025
Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
Pretraining Transformer-Based Models on Diffusion-Generated Synthetic Graphs for Alzheimer's Disease Prediction
Abolfazl Moslemi
Hossein Peyvandi
MedImAI4CE
443
0
0
24 Nov 2025
Pre-training Graph Neural Networks on 2D and 3D Molecular Structures by using Multi-View Conditional Information Bottleneck
Pre-training Graph Neural Networks on 2D and 3D Molecular Structures by using Multi-View Conditional Information Bottleneck
Van Thuy Hoang
O-Joun Lee
125
0
0
23 Nov 2025
How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy
Hanwen Liu
Yixuan Ma
Shi Jin
Yuguang Wang
171
0
0
08 Nov 2025
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
Haonan Yuan
Qingyun Sun
Junhua Shi
Xingcheng Fu
Bryan Hooi
Jianxin Li
Philip S. Yu
VLM
296
7
0
05 Nov 2025
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
Omkar Kulkarni
Rohitash Chandra
189
0
0
28 Oct 2025
Relieving the Over-Aggregating Effect in Graph Transformers
Relieving the Over-Aggregating Effect in Graph Transformers
Junshu Sun
Wanxing Chang
Chenxue Yang
Qingming Huang
Shuhui Wang
170
0
0
24 Oct 2025
An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
An Encoder-Integrated PhoBERT with Graph Attention for Vietnamese Token-Level Classification
Ba-Quang Nguyen
MedIm
136
0
0
13 Oct 2025
Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
Integrating Sequential and Relational Modeling for User Events: Datasets and Prediction Tasks
Rizal Fathony
Igor Melnyk
Owen Reinert
Nam H. Nguyen
Daniele Rosa
C. Bayan Bruss
AI4TS
345
1
0
13 Oct 2025
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
Zhaolin Hu
Kun Li
Hehe Fan
Yi Yang
199
0
0
12 Oct 2025
Graph Enhanced Trajectory Anomaly Detection
Graph Enhanced Trajectory Anomaly Detection
Jonathan Mbuya
Dieter Pfoser
Antonios Anastasopoulos
271
0
0
22 Sep 2025
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
Haodi Zhong
Liuxin Zou
Di Wang
Bo Wang
Zhenxing Niu
Quan Wang
184
0
0
21 Aug 2025
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer
Jiayu Fang
Zhiqi Shao
S. Choy
Junbin Gao
185
0
0
19 Aug 2025
MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
Kareem Elozeiri
Mervat Abassy
Preslav Nakov
Yuxia Wang
LRM
180
0
0
18 Aug 2025
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
Michal Podstawski
313
1
0
14 Jul 2025
VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries
VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries
Nasir Hussain
Haohan Chen
Chanh Tran
Philip Huang
Zhuohao Li
Pravir Chugh
William Chen
Ashish Kundu
Wei Bai
427
6
0
28 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
352
0
0
02 May 2025
Towards Graph Foundation Models: A Transferability Perspective
Towards Graph Foundation Models: A Transferability Perspective
Longji Xu
Wenqi Fan
Suhang Wang
Yao Ma
306
7
0
13 Mar 2025
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
Graph Transformer with Disease Subgraph Positional Encoding for Improved Comorbidity Prediction
Xihan Qin
Li Liao
234
0
0
04 Mar 2025
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
Depth-Width tradeoffs in Algorithmic Reasoning of Graph Tasks with Transformers
Gilad Yehudai
Clayton Sanford
Maya Bechler-Speicher
Orr Fischer
Ran Gilad-Bachrach
Amir Globerson
460
1
0
03 Mar 2025
Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Longji Xu
Xinnan Dai
Wenqi Fan
Yao Ma
470
9
0
26 Feb 2025
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
Shu Wu
Qifeng Bai
Wenbing Huang
Deli Zhao
Hong Cheng
Yu Rong
552
17
0
23 Feb 2025
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
688
0
0
13 Feb 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025
Taoran Fang
Tianhong Gao
Chunping Wang
Yihao Shang
Wei Chow
Lei Chen
Yang Yang
634
4
0
23 Jan 2025
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning
Shuo Yu
Yingbo Wang
Ruolin Li
Guchun Liu
Yanming Shen
Shaoxiong Ji
Bowen Li
Fengling Han
Xiuzhen Zhang
Xiwei Xu
191
11
0
03 Jan 2025
Pre-training Graph Neural Networks on Molecules by Using
  Subgraph-Conditioned Graph Information Bottleneck
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information BottleneckAAAI Conference on Artificial Intelligence (AAAI), 2024
Van Thuy Hoang
O-Joun Lee
AI4CE
354
17
0
20 Dec 2024
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
Tae-Hoon Lee
Min-Soo Kim
615
0
0
29 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers
Guoguo Ai
Guansong Pang
Hezhe Qiao
Yuan Gao
Hui Yan
624
3
0
26 Nov 2024
Even Sparser Graph Transformers
Even Sparser Graph TransformersNeural Information Processing Systems (NeurIPS), 2024
Hamed Shirzad
Honghao Lin
B. Venkatachalam
A. Velingker
David P. Woodruff
Danica J. Sutherland
GNN
446
11
0
25 Nov 2024
Stealing Training Graphs from Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2024
Minhua Lin
Enyan Dai
Junjie Xu
Jinyuan Jia
Xiang Zhang
Suhang Wang
DiffM
405
6
0
17 Nov 2024
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive
  Models Focusing on Logical Structures
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical StructuresConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Aizan Zafar
Kshitij Mishra
Asif Ekbal
238
2
0
20 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification
Rethinking Graph Transformer Architecture Design for Node Classification
Jiajun Zhou
Xuanze Chen
Chenxuan Xie
Yu Shanqing
Qi Xuan
Xiaoniu Yang
255
1
0
15 Oct 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training
TorchGT: A Holistic System for Large-scale Graph Transformer Training
Mengdie Zhang
Jie Sun
Qi Hu
Yang Liu
Zeke Wang
Yonggang Wen
Tianwei Zhang
GNN
362
8
0
19 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N. Lell
A. Scherp
GNN
288
1
0
16 Jul 2024
Heterogeneous Hypergraph Embedding for Recommendation Systems
Heterogeneous Hypergraph Embedding for Recommendation Systems
Darnbi Sakong
Viet Hung Vu
T. T. Huynh
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
Thanh Tam Nguyen
296
2
0
04 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CEGNN
521
6
0
03 Jul 2024
A Systematic Survey of Text Summarization: From Statistical Methods to
  Large Language Models
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
Haopeng Zhang
Philip S. Yu
Jiawei Zhang
400
128
0
17 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models
Hierarchical Compression of Text-Rich Graphs via Large Language Models
Shichang Zhang
Da Zheng
Jiani Zhang
Qi Zhu
Xiang Song
Soji Adeshina
Christos Faloutsos
George Karypis
Yizhou Sun
VLM
385
4
0
13 Jun 2024
What Improves the Generalization of Graph Transformers? A Theoretical
  Dive into the Self-attention and Positional Encoding
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
Hongkang Li
Meng Wang
Tengfei Ma
Sijia Liu
Zaixi Zhang
Pin-Yu Chen
MLTAI4CE
358
22
0
04 Jun 2024
Graph External Attention Enhanced Transformer
Graph External Attention Enhanced Transformer
Jianqing Liang
Min Chen
Jiye Liang
482
10
0
31 May 2024
Automatic Graph Topology-Aware Transformer
Automatic Graph Topology-Aware Transformer
Chao Wang
Jiaxuan Zhao
Lingling Li
Licheng Jiao
Fang Liu
Shuyuan Yang
ViT
496
6
0
30 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search
Calibrated Dataset Condensation for Faster Hyperparameter Search
Mucong Ding
Yuancheng Xu
Tahseen Rabbani
Xiaoyu Liu
Brian J Gravelle
Teresa M. Ranadive
Tai-Ching Tuan
Furong Huang
DD
256
3
0
27 May 2024
Spectral Greedy Coresets for Graph Neural Networks
Spectral Greedy Coresets for Graph Neural Networks
Mucong Ding
Yinhan He
Jundong Li
Furong Huang
285
3
0
27 May 2024
Attending to Topological Spaces: The Cellular Transformer
Attending to Topological Spaces: The Cellular Transformer
Rubén Ballester
Pablo Hernández-García
Johan Mathe
Claudio Battiloro
Nina Miolane
Tolga Birdal
Carles Casacuberta
Sergio Escalera
Pavlo Vasylenko
406
6
0
23 May 2024
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View
Yufei Jin
Xingquan Zhu
371
2
0
02 May 2024
Graph Machine Learning in the Era of Large Language Models (LLMs)
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
D. Yin
Qing Li
AI4CE
504
53
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
260
4
0
19 Apr 2024
3D scene generation from scene graphs and self-attention
Pietro Bonazzi
Mengqi Wang
Diego Martin Arroyo
Fabian Manhardt
Nico Messikomer
Federico Tombari
Davide Scaramuzza
3DV3DPC
349
0
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 ExtractionInternational Conference on Language Resources and Evaluation (LREC), 2024
Jian Zhang
Chang-Qing Yang
Haiping Zhu
Qika Lin
Fangzhi Xu
Jun Liu
325
8
0
12 Mar 2024
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