Graph Signal Processing in Python

A PyTorch-based package built for graph signal processing(especially critical-sampling graph wavelet analysis).

Scattering GCN: overcoming oversmoothness in graph convolutional networks

Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework"

"Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024

Official implementation of "Graph Signal Diffusion Model for Collaborative Filtering" (SIGIR 2024)

Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning"

Code for ICLR2023 paper "Graph Signal Sampling for Inductive 1-bit Matrix Completion: a Closed-Form Solution"

Simultaneous graph signal clustering and multiview graph learning

Collection of models for learning networks from signals.

Code for PRL paper: "GA-GWNN: Generalized Adaptive Graph Wavelet Neural Network"

Graph SSL, biased random walk, bridgeness centrality

Pycsou extension module for linear inverse problems involving signals defined on non Euclidean domains represented as graphs.

Image Processing With Graphs

Tensorflow implementation for the paper titiled "Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises", TNSRE,2022