SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

19 June 2023

Papers citing "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

48 / 48 papers shown

Title
Relational Graph Transformer Vijay Prakash Dwivedi Sri Jaladi Yangyi Shen Federico López Charilaos I. Kanatsoulis Rishi Puri Matthias Fey Jure Leskovec 22 0 0 16 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 38 0 0 04 May 2025
High-order Graph Neural Networks with Common Neighbor Awareness for Link Prediction Ling Wang Minglian Han AI4CE 28 0 0 26 Apr 2025
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph Wenji Fang Wenkai Li Shang Liu Yao Lu Hongce Zhang Zhiyao Xie 35 1 0 12 Apr 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 46 0 0 21 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Efficient and Privacy-Preserved Link Prediction via Condensed Graphs Yunbo Long Liming Xu Alexandra Brintrup 60 0 0 15 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 72 0 0 12 Mar 2025
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models Xi Zhu Haochen Xue Ziwei Zhao Wujiang Xu Jingyuan Huang Minghao Guo Qifan Wang Kaixiong Zhou Yongfeng Zhang 67 2 0 05 Mar 2025
Neural Network Graph Similarity Computation Based on Graph Fusion Zenghui Chang Yiqiao Zhang Hong Cai Chen GNN 73 0 0 25 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
Biologically Plausible Brain Graph Transformer Ciyuan Peng Yuelong Huang Qichao Dong Shuo Yu Feng Xia Chengqi Zhang Yaochu Jin 61 1 0 13 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 59 0 0 12 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
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 78 0 0 18 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
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
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 74 0 0 23 Nov 2024
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 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 Haitz Sáez de Ocáriz Borde Artem Lukoianov Anastasis Kratsios Michael M. Bronstein Xiaowen Dong GNN 43 1 0 29 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 31 0 0 15 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 42 0 0 01 Oct 2024
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim Marc Lafon Raphael Fournier SÑiehotta Nicolas Thome 33 1 0 26 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning Junnan Liu Qianren Mao Weifeng Jiang Jianxin Li 35 0 0 19 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 31 0 0 09 Sep 2024
TorchGT: A Holistic System for Large-scale Graph Transformer Training Mengdie Zhang Jie Sun Qi Hu Peng Sun Zeke Wang Yonggang Wen Tianwei Zhang GNN 39 2 0 19 Jul 2024
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 49 0 0 13 Jul 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 44 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 44 1 0 27 Jun 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions Siemen Brussee Giorgio Buzzanca Anne M.R. Schrader Jesper Kers 61 8 0 18 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 37 17 0 13 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 47 7 0 09 Jun 2024
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian Ning Cao Gregory O'Hared 43 1 0 21 Mar 2024
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling Ruizhe Zhong Junjie Ye Zhentao Tang Shixiong Kai Mingxuan Yuan Jianye Hao Junchi Yan 44 8 0 27 Feb 2024
Large Language Model Meets Graph Neural Network in Knowledge Distillation Shengxiang Hu Guobing Zou Song Yang Yanglan Gan Bofeng Zhang Yixin Chen 54 7 0 08 Feb 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 31 7 0 22 Aug 2023
Language is All a Graph Needs Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Yongfeng Zhang AI4CE 63 151 0 14 Aug 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 25 2 0 04 Jul 2023
Torsion Graph Neural Networks Cong Shen Xiang Liu Jiawei Luo Kelin Xia 31 0 0 23 Jun 2023
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 78 82 0 08 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao Tess E. Smidt 87 216 0 23 Jun 2022
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 52 15 0 12 Nov 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges L. Chanussot Abhishek Das Siddharth Goyal Thibaut Lavril Muhammed Shuaibi ... Brandon M. Wood Junwoong Yoon Devi Parikh C. L. Zitnick Zachary W. Ulissi 232 504 0 20 Oct 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,944 0 09 Jun 2018