epfl-lts2 / pygspLinks
Graph Signal Processing in Python
☆520Updated 4 months ago
Alternatives and similar repositories for pygsp
Users that are interested in pygsp are comparing it to the libraries listed below
Sorting:
- Graph Signal Processing in Matlab☆145Updated 5 years ago
- Graph signal processing tutorial, presented at the GraphSiP summer school.☆78Updated 6 years ago
- A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.☆276Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆277Updated 10 months ago
- A scikit-learn compatible library for graph kernels☆634Updated 5 months ago
- ☆144Updated 4 years ago
- ☆366Updated last year
- A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)☆602Updated 2 years ago
- A package for computing Graph Kernels☆103Updated 2 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆189Updated 2 years ago
- A python package for graph kernels, graph edit distances, and graph pre-image problem.☆128Updated 7 months ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆178Updated 2 years ago
- A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).☆207Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆296Updated 3 years ago
- A graph matching library for Python☆208Updated last year
- Implementation of the PersLay layer for persistence diagrams☆84Updated 2 years ago
- ☆173Updated 7 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆62Updated 4 years ago
- Hyperbolic Embeddings☆393Updated 2 years ago
- Python library assists deep learning on graphs☆566Updated last month
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Updated last year
- 🕸 Implementations of graph signal processing techniques from "The emerging field of signal processing on graphs" (2013)☆34Updated 7 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Python package for graph-based clustering and semi-supervised learning☆100Updated 4 months ago
- Hierarchical Graph Pooling with Structure Learning☆344Updated 4 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Python package for information theory.☆564Updated 8 months ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago