Alternatives and similar repositories for pygsp

Users that are interested in pygsp are comparing it to the libraries listed below

• epfl-lts2 / gspbox
  Graph Signal Processing in Matlab
  ☆143Updated 5 years ago
• mdeff / pygsp_tutorial_graphsip
  Graph signal processing tutorial, presented at the GraphSiP summer school.
  ☆77Updated 6 years ago
• FilippoMB / Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
  Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…
  ☆276Updated 8 months ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆630Updated 3 months ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆189Updated 2 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆362Updated last year
• saibalmars / GraphRicciCurvature
  A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
  ☆269Updated last year
• mdbartos / graph-signals
  🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)
  ☆33Updated 7 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆565Updated 2 years ago
• benedekrozemberczki / DANMF
  A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
  ☆206Updated 2 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆208Updated last year
• benedekrozemberczki / GraphWaveletNeuralNetwork
  A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
  ☆600Updated 2 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆295Updated 3 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 5 months ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated 2 years ago
• dit / dit
  Python package for information theory.
  ☆559Updated 6 months ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆134Updated 5 years ago
• snap-stanford / GraphRNN
  ☆431Updated 6 years ago
• snap-stanford / graphwave
  ☆173Updated 6 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆177Updated 2 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆36Updated 6 years ago
• JiaxuanYou / graph-generation
  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  ☆733Updated 3 years ago
• mims-harvard / nimfa
  Nimfa: Nonnegative matrix factorization in Python
  ☆554Updated 4 years ago
• loukasa / graph-coarsening
  Multilevel graph coarsening algorithm with spectral and cut guarantees
  ☆91Updated 5 years ago
• DeepGraphLearning / GMNN
  Graph Markov Neural Networks
  ☆410Updated 5 years ago
• diningphil / gnn-comparison
  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
  ☆397Updated last year
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆63Updated 4 years ago
• palash1992 / DynamicGEM
  ☆354Updated 5 years ago