Alternatives and similar repositories for graph_kernels

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

• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• rmgarnett / fast_wl
  A fast MATLAB implementation of the Weisfeiler--Lehman graph transformation and associated kernel.
  ☆11Updated 7 years ago
• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 9 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 5 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆104Updated last year
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• gmum / pykernels
  Python library for working with kernel methods in machine learning
  ☆120Updated 6 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆98Updated 5 years ago
• lordgrilo / Holes
  A Python module for detecting, analysing and visualising persistent homological features of complex networks
  ☆30Updated 4 years ago
• tansey / vsmrfs
  Vector-Space Markov Random Fields
  ☆21Updated 10 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 7 years ago
• zhegan27 / dpfa_icml2015
  The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"
  ☆19Updated 9 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆68Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• snap-stanford / snapvx
  ☆65Updated 5 years ago
• chrisdxie / in-depth-VI-tutorial
  ☆11Updated 9 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• aatapa / RLScore
  ☆68Updated last year
• satwik77 / libnmf
  Optimization and Regularization variants of Non-negative Matrix Factorization (NMF)
  ☆33Updated 6 years ago
• muhanzhang / LinkPrediction
  Code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017 oral"
  ☆56Updated 6 years ago
• davmre / gprf
  Gaussian Process Random Fields
  ☆21Updated 9 years ago
• arbenson / tensor-sc
  Tensor spectral clustering.
  ☆29Updated 7 years ago
• wittawatj / interpretable-test
  NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
  ☆64Updated 7 years ago
• davidhallac / NetworkLasso
  ☆22Updated 10 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
• tensorlib / tensorlib
  Yet another tensor library
  ☆23Updated 8 years ago
• mijungi / lllvm
  ☆16Updated 9 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 6 years ago
• snap-stanford / graphwave
  ☆173Updated 6 years ago
• mstrazar / mklaren
  A Python Multiple kernel learning library.
  ☆57Updated 6 years ago