Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Graph Signal Processing in Python

Graph Signal Processing in Matlab

Graph signal processing tutorial, presented at the GraphSiP summer school.

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

Signal Processing on non-euclidien domain signals

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

Moving Object Detection for Event-based vision using Graph Spectral Clustering (Python implementation)

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"

Scattering GCN: overcoming oversmoothness in graph convolutional networks

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

Signal recovery and sampling over graphs

This repository contains code for morphology-free analysis of functional fluorescence microscopy. The focal algorithm, Graph-Filtered Time-trace (GraFT) Dictionary Learning, is published in Charles et al. 2022 in the IEEE Transactions of Image Processing.

MultiscaleGraphSignalTransforms.jl is a collection of software tools written in the Julia programming language for graph signal processing including HGLET, GHWT, eGHWT, NGWP, Lapped NGWP, and Lapped HGLET. Some of them were originally written in MATLAB by Jeff Irion, but we added more functionalities, e.g., eGHWT, NGWP, etc.

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

Graph construction for images representation

Graph Signal Processing in R

Additional material for "Graph Signal Processing on Complex Networks for Structural Health Monitoring"

Source code of the final course paper "Enhancing Word Embeddings with Graph-Based Text Representations"

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

Multivariate Time Series Forecasting with GARCH Models on Graphs

VGAResNet: A Unified Visibility Graph Adjacency Matrix-Based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds

Simultaneous graph signal clustering and multiview graph learning

Collection of models for learning networks from signals.

This repository contains an Matlab implementation of the algorithms presented in Digraph Signal Processing with Generalized Boundary Conditions by Bastian Seifert and Markus Püschel.

Data-driven Thresholding in Denoising with Spectral Graph Wavelet Transform.

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

Coursework and projects for Graph Signal Processn course(Graduate), including theoretical homework solutions/problems, final solution/problems and the project of the course

Graph Active Semi-supervised Semantic segmentation for Event-based Vision

Graph SSL, biased random walk, bridgeness centrality