https://github.com/XGraph-Team/Spectral-Graph-Survey

Surveys:

• [2017 SPM]Geometric Deep Learning: Going beyond Euclidean data https://ieeexplore.ieee.org/document/7974879
• [2022 TNNLS]Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
• **[2023 ACM Computer Surveys]https://dl.acm.org/doi/10.1145/3627816**
• [2023] A Survey on Spectral Graph Neural Networks https://arxiv.org/abs/2302.05631

Expressive Power

• https://www.bilibili.com/video/BV1eU4y1D7Gv/
• [2021 ICLR]Analyzing the expressive power of graph neural networks in a spectral perspective
• [2022 ICML]How Powerful are Spectral Graph Neural Networks

Spectral GNNs

• [2016 NIPS]https://dl.acm.org/doi/10.5555/3157382.3157527
• [2021 ICLR]Adaptive Universal Generalized PageRank Graph Neural Network
• [2021 NeurIPS]https://openreview.net/forum?id=WigDnV-_Gq
• [2022 NeurIPS]Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
• [2022 ICML]How Powerful are Spectral Graph Neural Networks