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- On the Stability of Polynomial Spectral Graph Filters
- Improving Graph Convolutional Networks with Non-Parametric Activation Functions
- Learning Graphs from Data: a Signal Representation Perspective
- Graph Signal Processing: Structure and Scalability to Massive Data Sets
- A Directed Graph Fourier Transform with Spread Frequency Components
- Graph Signal Processing for Geometric Data and Beyond
- New Tools for Graph Fourier Transform Visualization Benjamin Girault, Antonio Ortega
- SEMI-SUPERVISED LEARNING on GRAPHS with FEATURE-AUGMENTED GBF’S 1 Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions Wolfgang Erb
- Convolutional Networks on (Directed) Graphs Via the Graph Fourier Transform
- Graph Convolutions and Machine Learning
- Spectral Graph Theory and Graph CNN
- Frequency Analysis for Graph Convolution Network
- The Fractional Fourier Transform on Graphs
- Graph Signal Processing: Modulation, Convolution, and Sampling John Shi, Student Member, IEEE, Jose´ M
- Irregularity-Aware Graph Fourier Transforms Benjamin Girault, Antonio Ortega Fellow, IEEE and Shrikanth S
- Arxiv:2009.06058V2 [Math.FA] 14 Feb 2021 Ahmtc Ujc Lsicto (2010) Classification Subject Mathematics Nlzn Inl Endo Rps Ie Graph a Given M Graphs
- Approximate Fast Graph Fourier Transforms Via Multi-Layer Sparse Approximations Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
- Graph Wavelet Neural Network
- Irregularity-Aware Graph Fourier Transforms Benjamin Girault, Antonio Ortega, Shrikanth Narayanan
- Math Behind GCN
- Foundations of Graphs
- A Deep Graph Wavelet Convolutional Neural Network for Semi-Supervised Node Classification
- DISCRETE SIGNAL PROCESSING on GRAPHS: GRAPH FOURIER TRANSFORM Aliaksei Sandryhaila and Jose´ M
- Spectral Projector-Based Graph Fourier Transforms Joya A
- Graph Convolutional Networks Yunsheng Bai Overview
- Improving Graph Convolutional Networks with Non-Parametric Activation Functions
- On the Graph Fourier Transform for Directed Graphs
- Graph Fourier Transform Based on Directed Laplacian Rahul Singh, Abhishek Chakraborty, Graduate Student Member, IEEE, and B
- Efficient Representations for Graph and Neural Network Signals
- The Spectral Graph Wavelet Transform: Fundamental Theory and Fast Computation David K
- From Graph Fourier Transform to Signal Processing on Graphs Benjamin Ricaud, Pierre Borgnat, Nicolas Tremblay, Paulo Gonçalves, Pierre Vandergheynst
- A Spectral Graph Uncertainty Principle 3