Rethinking Graph Transformers with Spectral Attention

7 June 2021

Papers citing "Rethinking Graph Transformers with Spectral Attention"

50 / 305 papers shown

Title
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski Frederik Wenkel Farimah Poursafaei Nia Dickson Karush Suri Philip Fradkin Dominique Beaini GNN AI4CE 34 11 0 17 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 0 15 Apr 2024
Adaptive Patching for High-resolution Image Segmentation with Transformers Enzhi Zhang Isaac Lyngaas Peng Chen Xiao Wang Jun Igarashi Yuankai Huo M. Wahib M. Munetomo MedIm 27 1 0 15 Apr 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi Han van der Aa Heiner Stuckenschmidt AI4TS 29 3 0 09 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 34 7 0 04 Apr 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing Zhenyu Qian Yiming Qian Yuting Song Fei Gao Hai Jin Chen Yu Xia Xie 43 0 0 31 Mar 2024
Topological Cycle Graph Attention Network for Brain Functional Connectivity Jinghan Huang Nanguang Chen Anqi Qiu 21 0 0 28 Mar 2024
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification Zhan Shi Jingwei Zhang Jun Kong Fusheng Wang MedIm 34 3 0 26 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 39 19 0 24 Mar 2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian ViT SSL 32 13 0 22 Mar 2024
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention Qincheng Lu Jiaqi Zhu Sitao Luan Xiaomeng Chang 33 6 0 03 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 90 23 0 02 Mar 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 25 0 0 26 Feb 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Zhengchao Wan Gal Mishne A. Nayyeri Yusu Wang 31 10 0 22 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 109 58 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 33 6 0 13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 24 1 0 13 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 21 6 0 11 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 28 11 0 09 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J. Zaki D. Subramanian ViT 28 5 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 46 6 0 04 Feb 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 59 26 0 03 Feb 2024
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei Shuai Fu Weisen Jiang Zejian Zhang Zhixiong Zeng Qi Wu James T. Kwok Yu Zhang 35 11 0 03 Feb 2024
Topology-Informed Graph Transformer Yuncheol Choi Sun Woo Park Minho Lee Youngho Woo 21 3 0 03 Feb 2024
Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization Mahdi Biparva Raika Karimi Faezeh Faez Yingxue Zhang 40 3 0 02 Feb 2024
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces Chloe X. Wang Oleksii Tsepa Jun Ma Bo Wang Mamba 25 86 0 01 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 19 0 0 31 Jan 2024
A Survey on Structure-Preserving Graph Transformers Van Thuy Hoang O-Joun Lee 49 5 0 29 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 33 2 0 26 Jan 2024
Exploring General Intelligence via Gated Graph Transformer in Functional Connectivity Studies Gang Qu Anton Orlichenko Junqi Wang Gemeng Zhang Li Xiao Aiying Zhang Zhengming Ding Yu-Ping Wang 18 0 0 18 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting Lequan Lin Dai Shi Andi Han Junbin Gao DiffM AI4TS 19 5 0 16 Jan 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer Hui Lin Zhiheng Ma Xiaopeng Hong Qinnan Shangguan Deyu Meng ViT 39 17 0 08 Jan 2024
A quatum inspired neural network for geometric modeling Weitao Du Shengchao Liu Xuecang Zhang AI4CE 29 0 0 03 Jan 2024
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 17 6 0 28 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu Jeongwhan Choi Woojin Cho Kookjin Lee Nayong Kim ... Ilho Kim Seok-Woo Lee Joon Young Yang S. Yoon Noseong Park AI4CE 15 7 0 19 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 21 7 0 18 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 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 29 6 0 09 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 71 16 0 04 Dec 2023
Recurrent Distance Filtering for Graph Representation Learning Yuhui Ding Antonio Orvieto Bobby He Thomas Hofmann GNN 34 6 0 03 Dec 2023
Effective Structural Encodings via Local Curvature Profiles Lukas Fesser Melanie Weber 21 3 0 24 Nov 2023
Cycle Invariant Positional Encoding for Graph Representation Learning Zuoyu Yan Teng Ma Liangcai Gao Zhi Tang Chao Chen Yusu Wang 34 4 0 24 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 47 12 0 13 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 32 0 0 08 Nov 2023
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Shigang Chen Ronald Fick Miles Medina Christine Angelini 10 16 0 08 Nov 2023
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel Xuan Li Zhanke Zhou Jiangchao Yao Yu Rong Lu Zhang Bo Han 31 3 0 02 Nov 2023
$Generating QM1B with PySCF$_{\text{IPU}}$$ Generating QM1B with PySCF $_{\text{IPU}}$ Alexander Mathiasen Hatem Helal Kerstin Klaser Paul Balanca Josef Dean Carlo Luschi Dominique Beaini Andrew Fitzgibbon Dominic Masters 18 1 0 02 Nov 2023
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes Cai Zhou Xiyuan Wang Muhan Zhang 31 14 0 30 Oct 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 35 15 0 28 Oct 2023