7 skills found
shaydeu1 / Robust Manifold Denoising This packaged is an implementation of our paper "Robust Denoising of Piece-Wise Smooth Manifolds", ICASSP 2018 The algorithm creates an affinity graph and perform denoising on a set of N input points in R^n. Given an input set of points in any arbitrary dimension, an affinity graph is first created based on Tensor Voting, Local PCA or Euclidean distances, or the Tensor Voting Graph [3] . Then it performs denoising using a modified version of the recently proposed MFD algorithm[1]. The MFD algorithm uses the Spectral Graph Wavelet (SGW) transform in order to perform denoising directly in the spectral graph wavelet domain. Main function - Main_Demo provides an example of running our algorithm
UCD4IDS / MultiscaleGraphSignalTransforms.jlMultiscaleGraphSignalTransforms.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.
risilab / Learnable MMFLearning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs
armaank / GsxformWavelet scattering transforms on graphs via PyTorch
KrishnaswamyLab / Hypergraph WaveletsHyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
ansonb / DEFTThis repository contains the code for Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions, published in AAAI 2023.
wangxianggit / ST GWCNA traffic flow prediction model based on graph wavelet convolution network and gated temporal convolution network
