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

15 January 2020

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

50 / 58 papers shown

Title
Scalability Matters: Overcoming Challenges in InstructGLM with Similarity-Degree-Based Sampling Hyun Lee Chris Yi Maminur Islam B.D.S. Aritra 33 0 0 02 May 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation Yansen Wang Xinnan Dai Wenqi Fan Yao Ma 76 1 0 26 Feb 2025
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 57 4 0 23 Feb 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 46 1 0 23 Jan 2025
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks Tae-Hoon Lee Min-Soo Kim 81 0 0 29 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Improving Chinese Character Representation with Formation Tree Yang Hong Yinfei Li Xiaojun Qiao Rui Li Junsong Zhang VLM 42 1 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 3DV 3DPC 38 0 0 02 Apr 2024
Graph Transformers without Positional Encodings Ayush Garg 27 0 0 31 Jan 2024
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 34 0 0 08 Nov 2023
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning Van Thuy Hoang Sang Thanh Nguyen Sangmyeong Lee Jooho Lee Luong Vuong Nguyen O-Joun Lee 22 8 0 31 Aug 2023
CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations Yili Chen Zhengyu Li Zheng Wan Hui Yu Xian Wei 23 0 0 25 Jul 2023
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting Xinli Yu Zheng Chen Yuan Ling Shujing Dong Zongying Liu Yanbin Lu AIFin AI4TS 125 69 0 19 Jun 2023
Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 38 0 0 28 May 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT Jiawei Zhang LRM 45 76 0 10 Apr 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 32 2 0 21 Mar 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 28 13 0 19 Dec 2022
HEGEL: Hypergraph Transformer for Long Document Summarization Haopeng Zhang Xiao Liu Jiawei Zhang 33 44 0 09 Oct 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 16 15 0 22 Jul 2022
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 46 11 0 21 Jul 2022
Improving the Faithfulness of Abstractive Summarization via Entity Coverage Control Haopeng Zhang Semih Yavuz Wojciech Kry'sciñski Kazuma Hashimoto Yingbo Zhou HILM 38 34 0 05 Jul 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 90 7 0 29 Jun 2022
Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning Fangzhi Xu Jun Liu Qika Lin Yudai Pan Lingling Zhang 26 24 0 02 May 2022
Theory of Graph Neural Networks: Representation and Learning Stefanie Jegelka GNN AI4CE 33 68 0 16 Apr 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 49 142 0 25 Feb 2022
Data Augmentation for Deep Graph Learning: A Survey Kaize Ding Zhe Xu Hanghang Tong Huan Liu OOD GNN 27 219 0 16 Feb 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 30 41 0 16 Feb 2022
Structure-Aware Transformer for Graph Representation Learning Dexiong Chen Leslie O’Bray Karsten M. Borgwardt 36 237 0 07 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks Rickard Brüel-Gabrielsson Mikhail Yurochkin Justin Solomon AI4CE 25 32 0 29 Jan 2022
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 33 0 25 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 46 258 0 21 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 12 78 0 10 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification Yan Pang Chao Liu GNN 26 8 0 04 Jan 2022
SocialBERT -- Transformers for Online SocialNetwork Language Modelling I. Karpov Nick Kartashev 22 3 0 13 Nov 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 37 42 0 24 Aug 2021
Global Self-Attention as a Replacement for Graph Convolution Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 40 123 0 07 Aug 2021
Anomaly Detection in Dynamic Graphs via Transformer Yixin Liu Shirui Pan Yu Guang Wang Fei Xiong Liang Wang Qingfeng Chen V. C. Lee 34 91 0 18 Jun 2021
GraphiT: Encoding Graph Structure in Transformers Grégoire Mialon Dexiong Chen Margot Selosse Julien Mairal 28 164 0 10 Jun 2021
Do Transformers Really Perform Bad for Graph Representation? Chengxuan Ying Tianle Cai Shengjie Luo Shuxin Zheng Guolin Ke Di He Yanming Shen Tie-Yan Liu GNN 30 433 0 09 Jun 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 29 100 0 10 Mar 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 0 22 Feb 2021
Predicting times of waiting on red signals using BERT Witold Szejgis Anna Warno P. Góra 26 1 0 20 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 22 159 0 09 Feb 2021
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Nurendra Choudhary Nikhil S. Rao S. Katariya Karthik Subbian Chandan K. Reddy 16 64 0 23 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 50 720 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 116 0 16 Dec 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 21 167 0 22 Sep 2020