Transformer for Graphs: An Overview from Architecture Perspective

17 February 2022

Papers citing "Transformer for Graphs: An Overview from Architecture Perspective"

50 / 90 papers shown

Title
Batch Transformer Architecture: Case of Synthetic Image Generation for Emotion Expression Facial RecognitionAthens Journal of Sciences (JAS), 2025 Stanislav Selitskiy ViT 100 0 0 13 Nov 2025
How Particle-System Random Batch Methods Enhance Graph Transformer: Memory Efficiency and Parallel Computing Strategy Hanwen Liu Yixuan Ma Shi Jin Yuguang Wang 60 0 0 08 Nov 2025
Vibe Learning: Education in the age of AI Marcos Florencio Francielle Prieto 54 0 0 03 Nov 2025
Hierarchical Self-Attention: Generalizing Neural Attention Mechanics to Multi-Scale Problems Saeed Amizadeh Sara Abdali Yinheng Li K. Koishida 112 0 0 18 Sep 2025
Long-Range Graph Wavelet Networks Filippo Guerranti Fabrizio Forte Simon Geisler Stephan Günnemann AI4TS GNN 164 0 0 08 Sep 2025
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning Baiyuan Chen Shinji Ito Masaaki Imaizumi 93 0 0 22 Aug 2025
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn Shihai He Julie Choi Tianqi Li Zhiwei Ding Peng Du ... Franco Liang Fedor Borisyuk Padmini Jaikumar Xiaobing Xue Viral Gupta GNN 130 1 0 15 Jun 2025
Zero-shot protein stability prediction by inverse folding models: a free energy interpretation J. Frellsen Maher M. Kassem Tone Bengtsen Lars Olsen Kresten Lindorff-Larsen Jesper Ferkinghoff-Borg Wouter Boomsma 132 1 0 05 Jun 2025
polyGen: A Learning Framework for Atomic-level Polymer Structure Generation Ayush Jain Rampi Ramprasad 547 0 0 24 Apr 2025
On the Limits of Applying Graph Transformers for Brain Connectome Classification Jose Lara-Rangel Clare Heinbaugh 268 0 0 20 Mar 2025
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 388 13 0 23 Feb 2025
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services Zhao Li Yang Liu Chuan Zhou Xuanwu Liu Xuming Pan Buqing Cao Xindong Wu 333 4 0 17 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 470 0 0 13 Feb 2025
Spectro-Riemannian Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 471 1 0 01 Feb 2025
Fine-grained Graph Rationalization Zhe Xu Menghai Pan Yuzhong Chen Huiyuan Chen Yuchen Yan Mahashweta Das Hanghang Tong 124 0 0 28 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 422 9 0 08 Jan 2025
Graph Generative Pre-trained Transformer Xiaohui Chen Yinkai Wang Jiaxing He Yuanqi Du S. Hassoun Xiaolin Xu Tianpeng Liu 397 7 0 02 Jan 2025
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs Tae-Hoon Lee Min-Soo Kim 376 0 0 29 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningExpert systems with applications (ESWA), 2024 Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 185 3 0 23 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 375 0 0 25 Oct 2024
Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp EditingIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024 Runpu Wei Zijin Yin Kongming Liang Min Min Changzai Pan Gang Yu Haonan Huang Yan Liu Tianhao Shen 175 0 0 22 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 208 1 0 15 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized AttentionNeural Information Processing Systems (NeurIPS), 2024 Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 156 10 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 284 1 0 09 Oct 2024
Exploring the Limitations of Mamba in COPY and CoT Reasoning Ruifeng Ren Zhicong Li Yong Liu 143 2 0 04 Oct 2024
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting Hongjun Wang Jiyuan Chen Tong Pan Zheng Dong Lingyu Zhang Renhe Jiang Xuan Song AI4TS GNN 185 9 0 01 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph ReasoningInternational Conference on Machine Learning (ICML), 2024 Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 149 4 0 19 Sep 2024
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction Li Duan Junseok Lee Yeonguk Yu G. Aragon-Camarasa Kyoobin Lee 201 23 0 31 Jul 2024
Temporal receptive field in dynamic graph learning: A comprehensive analysis Yannis Karmim Leshanshui Yang Raphael Fournier SÑiehotta Clément Chatelain Sébastien Adam Nicolas Thome 141 1 0 17 Jul 2024
When Heterophily Meets Heterogeneity: Challenges and a New Large-Scale Graph Benchmark Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu 229 1 0 15 Jul 2024
Graph Transformers: A Survey Ahsan Shehzad Xiwei Xu Shagufta Abid Ciyuan Peng Shuo Yu Dongyu Zhang Karin Verspoor AI4CE 330 36 0 13 Jul 2024
A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs Kazi Hasan Thomas Trappenberg I. Haque AI4CE 86 3 0 06 Jul 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 443 21 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 202 3 0 17 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 172 62 0 13 Jun 2024
A Structure-Aware Lane Graph Transformer Model for Vehicle Trajectory Prediction Zhanbo Sun Caiyin Dong Ang Ji Ruibin Zhao Yu Zhao 148 1 0 30 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 331 3 0 30 May 2024
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford Bahare Fatemi Ethan Hall Anton Tsitsulin Seyed Mehran Kazemi Jonathan J. Halcrow Bryan Perozzi Vahab Mirrokni 248 64 0 28 May 2024
Graph Sparsification via Mixture of GraphsInternational Conference on Learning Representations (ICLR), 2024 Guibin Zhang Xiangguo Sun Xinfeng Li Kun Wang Tianlong Chen Shirui Pan 182 15 0 23 May 2024
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 252 6 0 23 May 2024
Discrete-state Continuous-time Diffusion for Graph GenerationNeural Information Processing Systems (NeurIPS), 2024 Zhe Xu Ruizhong Qiu Yuzhong Chen Huiyuan Chen Xiran Fan Menghai Pan Zhichen Zeng Mahashweta Das Hanghang Tong 279 45 0 19 May 2024
Oversmoothing Alleviation in Graph Neural Networks: A Survey and Unified View Yufei Jin Xingquan Zhu 229 2 0 02 May 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 235 11 0 24 Apr 2024
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction Shuheng Fang Kangfei Zhao Yu Rong Zhixun Li Jeffrey Xu Yu 233 1 0 26 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 152 5 0 06 Mar 2024
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models Lanning Wei Jun Gao Huan Zhao Quanming Yao 205 2 0 18 Feb 2024
Position: Topological Deep Learning is the New Frontier for Relational Learning Theodore Papamarkou Tolga Birdal Michael M. Bronstein Gunnar Carlsson Justin Curry ... Petar Velickovic Bei Wang Yusu Wang Guo-Wei Wei Ghada Zamzmi AI4CE 256 61 0 14 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential EquationsInternational Conference on Machine Learning (ICML), 2024 Andrey Bryutkin Jiahao Huang Zhongying Deng Guang Yang Carola-Bibiane Schönlieb Angelica E. Avilés-Rivero 170 16 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 242 8 0 04 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques Qiheng Mao Zemin Liu Chenghao Liu Zhuo Li Jianling Sun 141 16 0 04 Feb 2024