Representing Long-Range Context for Graph Neural Networks with Global Attention

21 January 2022

Papers citing "Representing Long-Range Context for Graph Neural Networks with Global Attention"

50 / 133 papers shown

Title
SpikeGraphormer: A High-Performance Graph Transformer with Spiking Graph Attention Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian Ning Cao Gregory O'Hared 25 1 0 21 Mar 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 15 0 0 26 Feb 2024
Cell Graph Transformer for Nuclei Classification Wei Lou Guanbin Li Xiang Wan Haofeng Li ViT MedIm 37 4 0 20 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 13 0 0 19 Feb 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking Zian Su Xiangzhe Xu Ziyang Huang Zhuo Zhang Yapeng Ye Jianjun Huang Xiangyu Zhang OffRL 30 8 0 19 Feb 2024
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 8 5 0 11 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 6 4 0 07 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 41 1 0 04 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang Oleksii Tsepa Jun Ma Bo Wang Mamba 17 85 0 01 Feb 2024
A Survey on Structure-Preserving Graph Transformers Van Thuy Hoang O-Joun Lee 26 5 0 29 Jan 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 13 1 0 18 Jan 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer Hui Lin Zhiheng Ma Xiaopeng Hong Qinnan Shangguan Deyu Meng ViT 23 4 0 08 Jan 2024
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph Silu He Qinyao Luo Xinsha Fu Ling Zhao Ronghua Du Haifeng Li 14 3 0 14 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 14 0 0 11 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Jia Wu Wenbin Hu Bo Du 14 1 0 09 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 11 1 0 03 Dec 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 17 0 0 08 Nov 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 26 16 0 23 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
Supercharging Graph Transformers with Advective Diffusion Qitian Wu Chenxiao Yang Kaipeng Zeng Fan Nie AI4CE 34 6 0 10 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 11 7 0 08 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 18 11 0 03 Oct 2023
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation Zhangsihao Yang Mengwei Ren Kaize Ding Guido Gerig Yalin Wang SSL 16 3 0 02 Oct 2023
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis Ziyu Guo Wei-Ye Zhao Shujun Wang Lequan Yu 15 13 0 14 Sep 2023
Joint-Relation Transformer for Multi-Person Motion Prediction Qingyao Xu Wei Mao Jingze Gong Chenxin Xu Siheng Chen Weidi Xie Ya-Qin Zhang Yanfeng Wang ViT 20 8 0 09 Aug 2023
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning Keyu Duan Qian Liu Tat-Seng Chua Shuicheng Yan Wei Tsang Ooi Qizhe Xie Junxian He 14 54 0 03 Aug 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 4 2 0 30 Jun 2023
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks J. Park Jeonghee Jo Sungroh Yoon 22 10 0 28 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 25 24 0 19 Jun 2023
Automated 3D Pre-Training for Molecular Property Prediction Xu Wang Huan Zhao Weiwei Tu Quanming Yao AI4CE 11 35 0 13 Jun 2023
A Graph Transformer-Driven Approach for Network Robustness Learning Yu Zhang Jia Li Jie Ding Xiang Li OOD AAML OffRL 14 3 0 12 Jun 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning Haiteng Zhao Shengchao Liu Chang Ma Hannan Xu Jie Fu Zhihong Deng Lingpeng Kong Qi Liu 15 60 0 28 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 11 6 0 25 May 2023
Tokenized Graph Transformer with Neighborhood Augmentation for Node Classification in Large Graphs Jinsong Chen Chang-Shu Liu Kai-Xin Gao Gaichao Li Kun He 13 3 0 22 May 2023
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction Jun-Yu Ma Jia-Chen Gu Zhen-Hua Ling Quan Liu Cong Liu Guoping Hu 29 1 0 21 May 2023
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices K. Bougiatiotis G. Paliouras 14 1 0 17 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 16 3 0 12 May 2023
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction Nils Loose Chun-Liang Li Hao Zhang Timothy Dozat Felix Mächtle ... Shangbang Long Siyang Qin Yasuhisa Fujii Nan Hua T. Eisenbarth SSL 32 17 0 04 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 10 4 0 02 May 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux Emmanuel Jehanno Margot Selosse Julien Mairal 11 6 0 21 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 17 138 0 11 Apr 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 6 1 0 28 Mar 2023
GNN-based physics solver for time-independent PDEs R. J. Gladstone H. Rahmani V. Suryakumar Hadi Meidani M. DÉlia A. Zareei AI4CE 6 15 0 28 Mar 2023
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks Yanshen Sun Kaiqun Fu Chang-Tien Lu AI4TS AI4CE 10 2 0 21 Mar 2023
Learning Language-Conditioned Deformable Object Manipulation with Graph Dynamics Yuhong Deng Kaichun Mo Chongkun Xia Xueqian Wang AI4CE 26 10 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 20 3 0 01 Mar 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 16 9 0 01 Mar 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 29 27 0 22 Feb 2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis Weiqin Zhao Shujun Wang Maximus C. F. Yeung Tianye Niu Lequan Yu 26 7 0 21 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 8 13 0 17 Feb 2023