Alternatives and similar repositories for graph-kernels

Users that are interested in graph-kernels are comparing it to the libraries listed below

• dongwookim-ml / MMSB
  mixed membership stochastic block model
  ☆13Updated 9 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆83Updated 7 years ago
• BorgwardtLab / GraphKernels
  A package for computing Graph Kernels
  ☆102Updated 2 years ago
• horacepan / MLGkernel
  Implementation of the Multiscale Laplacian Graph Kernel
  ☆19Updated 6 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆62Updated 4 years ago
• vermaMachineLearning / FGSD
  Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
  ☆24Updated 5 years ago
• YixuanLi / LEMON
  LEMON: A local algorithm for fast, high-precision overlapping community detection
  ☆55Updated 8 years ago
• mdeff / ntds_2016
  Material for the EPFL master course "A Network Tour of Data Science", edition 2016.
  ☆99Updated 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
• snap-stanford / graphwave
  ☆173Updated 7 years ago
• premgopalan / svinet
  Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…
  ☆73Updated 5 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆88Updated 6 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆179Updated 2 years ago
• dfdazac / dgi
  TensorFlow implementation of Deep Graph Infomax
  ☆62Updated 7 years ago
• ShelsonCao / GraRep
  Source Code of GraRep
  ☆52Updated 7 years ago
• Caselles / graph_kernels
  Four of the main kernels on graphs Python implementation.
  ☆16Updated 9 years ago
• ntumslab / PRUNE
  PRUNE: Preserving Proximity and Global Ranking for Network Embedding
  ☆44Updated 7 years ago
• giannisnik / cnn-graph-classification
  A convolutional neural network for graph classification in PyTorch
  ☆91Updated 6 years ago
• linhongseba / Temporal-Network-Embedding
  The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots
  ☆64Updated 8 years ago
• taolei87 / icml17_knn
  Deriving Neural Architectures from Sequence and Graph Kernels
  ☆59Updated 8 years ago
• leowyy / GraphTSNE
  PyTorch Implementation of GraphTSNE, ICLR’19
  ☆137Updated 6 years ago
• xgfs / verse
  Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures
  ☆133Updated 4 years ago
• benedekrozemberczki / M-NMF
  An implementation of "Community Preserving Network Embedding" (AAAI 2017)
  ☆121Updated 3 years ago
• Hanjun-Dai / graphnn
  Training computational graph on top of structured data (string, graph, etc)
  ☆293Updated 5 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆189Updated 2 years ago
• mims-harvard / ohmnet
  OhmNet: Representation learning in multi-layer graphs
  ☆84Updated 5 years ago
• joanbruna / GNN_community
  Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li
  ☆74Updated 8 years ago
• benedekrozemberczki / DANMF
  A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
  ☆207Updated 2 years ago
• cnmusco / graph-similarity-learning
  Algorithms for learning network structure from effective resistances and other random-walk-based similarities.
  ☆31Updated 8 years ago