Alternatives and similar repositories for GraphKernels

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

• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 5 months ago
• snap-stanford / graphwave
  ☆173Updated 7 years ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆63Updated 4 years ago
• kfoynt / LocalGraphClustering
  ☆144Updated 4 years ago
• annamalai-nr / graph2vec_tf
  This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
  ☆157Updated 7 years ago
• eghisu / GraphKernels
  A package for computing Graph Kernels
  ☆33Updated 7 years ago
• nd7141 / AWE
  Compute graph embeddings via Anonymous Walk Embeddings
  ☆82Updated 7 years ago
• BorgwardtLab / graph-kernels
  Graph kernels
  ☆55Updated 3 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆86Updated last year
• abojchevski / graph2gauss
  Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
  ☆178Updated 2 years ago
• nkahmed / PGD
  A Parallel Graphlet Decomposition Library for Large Graphs
  ☆88Updated 6 years ago
• xgfs / NetLSD
  NetLSD descriptors for graphs. Compare and analyze graph structure on multiple levels!
  ☆61Updated 5 years ago
• Ashish7129 / Graph_Sampling
  Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
  ☆163Updated 4 years ago
• benedekrozemberczki / RolX
  An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
  ☆69Updated 3 years ago
• TrustAGI-Lab / graph_datasets
  A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).
  ☆295Updated 3 years ago
• jacquesfize / GMatch4py
  A graph matching library for Python
  ☆209Updated last year
• 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
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆630Updated 4 months ago
• chrsmrrs / k-gnn
  Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
  ☆190Updated 3 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆91Updated 5 years ago
• annamalai-nr / subgraph2vec_tf
  This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
  ☆26Updated 8 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
• mims-harvard / ohmnet
  OhmNet: Representation learning in multi-layer graphs
  ☆84Updated 5 years ago
• xiangyue9607 / BioNEV
  Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…
  ☆228Updated 5 years ago
• palash1992 / DynamicGEM
  ☆356Updated 5 years ago
• snap-stanford / neural-subgraph-learning-GNN
  ☆364Updated last year
• xgfs / verse
  Reference implementation of the paper VERSE: Versatile Graph Embeddings from Similarity Measures
  ☆133Updated 4 years ago
• vuptran / graph-representation-learning
  [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification
  ☆254Updated 6 years ago
• Dru-Mara / EvalNE
  Source code for EvalNE, a Python library for evaluating Network Embedding methods.
  ☆106Updated last year
• snash4 / GAT2VEC
  embedding attributed graphs
  ☆57Updated 3 years ago