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 5 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated 2 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆83Updated 11 months ago
• lorenzopalloni / wl-graph-kernels
  A Python implementation of a fast approximation of the Weisfeiler-Lehman Graph Kernels.
  ☆24Updated 6 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 8 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 4 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 9 years ago
• koulanurag / conformal
  Conformal prediction is a framework for providing accuracy guarantees on the predictions of a base predictor
  ☆9Updated 6 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 2 months ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 5 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• STAC-USC / Graph_Learning
  Graph Learning from Data
  ☆35Updated 5 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
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆60Updated 5 years ago
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 2 years ago
• giannisnik / message_passing_graph_kernels
  ☆16Updated 5 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆88Updated 6 years ago
• kfoynt / LocalGraphClustering
  ☆143Updated 4 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• Chen-Cai-OSU / LDP
  LDP for graph classification
  ☆23Updated 5 years ago
• tlancian / contrast-subgraph
  "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
  ☆20Updated 3 years ago
• ipsorakis / commDetNMF
  Code for paper: Overlapping Community Detection via Nonnegative Matrix Factorization
  ☆10Updated 11 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".
  ☆177Updated 7 years ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 6 years ago
• snap-stanford / graphwave
  ☆173Updated 6 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
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆175Updated 2 years ago
• jwcalder / GraphLearning
  Python package for graph-based clustering and semi-supervised learning
  ☆94Updated 4 months ago