Alternatives and similar repositories for graph-signals:

Users that are interested in graph-signals are comparing it to the libraries listed below

• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆73Updated 5 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 3 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated last year
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆45Updated 3 years ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆56Updated 4 years ago
• JunwenBai / correlation-gnn
  Correlated Graph Neural Networks
  ☆26Updated 4 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆51Updated 4 years ago
• Hermina / GOT
  Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"
  ☆40Updated last year
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆35Updated last year
• DeepGraphLearning / ContinuousGNN
  ☆46Updated 3 years ago
• balcilar / Graph_Signal_Processing
  Signal Processing on non-euclidien domain signals
  ☆29Updated 5 years ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆67Updated 2 years ago
• AlexDuvalinho / HoscPool
  Higher-order clustering and pooling for GNNs
  ☆8Updated last year
• loukasa / graph-coarsening
  Multilevel graph coarsening algorithm with spectral and cut guarantees
  ☆86Updated 4 years ago
• Yangyeeee / SGAT
  ☆41Updated 3 years ago
• flyingtango / DiGCN
  Implement of DiGCN, NeurIPS-2020
  ☆48Updated 3 years ago
• FilippoMB / Benchmark_dataset_for_graph_classification
  This repository contains a dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
  ☆49Updated last month
• zhengdao-chen / GNN4CD
  Supervised community detection with line graph neural networks
  ☆89Updated 4 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆51Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 2 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆114Updated last year
• MysteryVaibhav / RWR-GAE
  Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
  ☆38Updated last year
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆70Updated last year
• qslim / gnn-spectrum
  Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"
  ☆17Updated 2 years ago
• arbenson / ScHoLP-Data
  Data for the paper "Simplicial closure and higher-order link prediction"
  ☆19Updated 6 years ago
• GeZhangMQ / Awesome-Graph-level-Neural-Networks
  ☆16Updated 2 years ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆133Updated 5 months ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 2 years ago
• epfl-lts2 / gspbox
  Graph Signal Processing in Matlab
  ☆139Updated 4 years ago