Specformer: Spectral Graph Neural Networks Meet Transformers

Specformer: Spectral Graph Neural Networks Meet Transformers

2 March 2023

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Papers citing "Specformer: Spectral Graph Neural Networks Meet Transformers"

19 / 19 papers shown

Title
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Juwei Yue Haikuo Li Jiawei Sheng Xiaodong Li Taoyu Su Tingwen Liu Li Guo 45 0 0 29 May 2025
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing Longlong Li Cunquan Qu Guanghui Wang 71 0 0 21 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 209 0 0 20 May 2025
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings Asiri Wijesinghe Hao Zhu Piotr Koniusz 121 1 0 22 Feb 2025
Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence Yuankai Luo Lei Shi Xiao-Ming Wu AI4CE 234 0 0 13 Feb 2025
Simple Path Structural Encoding for Graph Transformers Louis Airale Antonio Longa Mattia Rigon Andrea Passerini Roberto Passerone 190 0 0 13 Feb 2025
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture Md Atik Ahamed Andrew Cheng Qiang Ye Q. Cheng GNN 104 0 0 01 Feb 2025
Rethinking Cancer Gene Identification through Graph Anomaly Analysis Yilong Zang Lingfei Ren Yongqian Li Zhikang Wang David Selby Zheng Wang Sebastian Vollmer Hongzhi Yin Jiangning Song Jian Wu 129 1 0 23 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 181 0 0 26 Nov 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 108 2 0 27 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lio 123 30 0 21 May 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 130 4 0 28 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Miao Hu Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 89 8 0 22 Jan 2024
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 85 5 0 17 Oct 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 133 11 0 05 Jun 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 108 29 0 11 Feb 2023
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 160 20 0 21 Jul 2021
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 297 747 0 14 Jun 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 612 956 0 02 Mar 2020