Alternatives and similar repositories for fast_wl

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

• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 6 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 8 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆102Updated 2 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated last month
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆62Updated 4 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆86Updated last year
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 9 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆36Updated 6 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 7 months ago
• lorenzopalloni / wl-graph-kernels
  A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.
  ☆24Updated 6 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 6 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 5 years ago
• lttam / TreeWasserstein
  Matlab code for tree-Wasserstein distance in the paper "Tree-Sliced Variants of Wasserstein Distances", NeurIPS, 2019. (Tam Le, Makoto Y…
  ☆11Updated 5 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆179Updated 2 years ago
• tonyduan / matrix-completion
  Lightweight Python library for in-memory matrix completion.
  ☆108Updated 2 years ago
• giannisnik / message_passing_graph_kernels
  ☆16Updated 5 years ago
• LJeub / LocalCommunities
  Local community detection code that implements the methods used in Think Locally, Act Locally: The Detection of Small, Medium-Sized, and …
  ☆13Updated 7 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆178Updated 7 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 7 years ago
• SoheilFeizi / spectral-graph-alignment
  Spectral Alignment of Graphs
  ☆11Updated 8 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆61Updated 5 years ago
• edouardpineau / A-simple-baseline-algorithm-for-graph-classification
  Github page for the paper "A simple baseline algorithm for graph classification" presented at the R2L workshop of NIPS 2018
  ☆28Updated 5 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆25Updated 8 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆100Updated last week
• davidhallac / TVGL
  ☆57Updated 8 years ago
• HongtengXu / s-gwl
  Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
  ☆44Updated 6 years ago
• arbenson / higher-order-organization-matlab
  Experimental Matlab code for methods and some examples in "Higher-order organization of complex networks"
  ☆41Updated 6 years ago