Alternatives and similar repositories for GraphKernels:

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

• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆175Updated last year
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆155Updated 7 years ago
• snap-stanford / graphwave
  ☆171Updated 6 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆81Updated 6 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆125Updated 10 months ago
• kfoynt / LocalGraphClustering
  ☆137Updated 3 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆56Updated 3 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆81Updated 4 months ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆60Updated 3 years ago
• eghisu / GraphKernels
  A package for computing Graph Kernels
  ☆33Updated 6 years ago
• benedekrozemberczki / RolX
  An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
  ☆69Updated 2 years ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆184Updated 2 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆87Updated 5 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 7 years ago
• snash4 / GAT2VEC
  embedding attributed graphs
  ☆58Updated 3 years ago
• benedekrozemberczki / M-NMF
  An implementation of "Community Preserving Network Embedding" (AAAI 2017)
  ☆121Updated 2 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆131Updated 4 years ago
• xgfs / verse
  Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures
  ☆129Updated 3 years ago
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆59Updated 4 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆196Updated 8 months ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆347Updated 6 months ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆286Updated 2 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".
  ☆174Updated 6 years ago
• benedekrozemberczki / OrbitalFeatures
  A sparsity aware implementation of "Biological Network Comparison Using Graphlet Degree Distribution" (Bioinformatics 2007)
  ☆25Updated 2 years ago
• snap-stanford / distance-encoding
  Distance Encoding for GNN Design
  ☆187Updated 3 years ago
• palash1992 / DynamicGEM
  ☆349Updated 4 years ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆183Updated last year
• leoribeiro / struc2vec
  This repository provides a reference implementation of struc2vec.
  ☆386Updated last year
• Ashish7129 / Graph_Sampling
  Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
  ☆161Updated 4 years ago
• yunshengb / SimGNN
  ☆148Updated 5 years ago