Alternatives and similar repositories for karateclub:

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

• stellargraph / stellargraph
  StellarGraph - Machine Learning on Graphs
  ☆2,964Updated 9 months ago
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆908Updated 2 years ago
• benedekrozemberczki / littleballoffur
  Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
  ☆706Updated 11 months ago
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆535Updated last month
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆555Updated last year
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,257Updated 5 months ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,746Updated last year
• phanein / deepwalk
  DeepWalk - Deep Learning for Graphs
  ☆2,702Updated last year
• palash1992 / GEM
  ☆1,282Updated last year
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆606Updated 3 months ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆1,966Updated last month
• dsgiitr / graph_nets
  PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
  ☆1,156Updated last year
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,375Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,239Updated 7 months ago
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆777Updated 2 years ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,346Updated 10 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,465Updated 5 months ago
• THUDM / CogDL
  CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
  ☆1,752Updated 11 months ago
• graphdeeplearning / benchmarking-gnns
  Repository for benchmarking graph neural networks
  ☆2,547Updated last year
• benedekrozemberczki / datasets
  A repository of pretty cool datasets that I collected for network science and machine learning research.
  ☆619Updated 10 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,598Updated 4 years ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,004Updated 8 months ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆914Updated 4 months ago
• tkipf / gae
  Implementation of Graph Auto-Encoders in TensorFlow
  ☆1,660Updated 5 years ago
• aditya-grover / node2vec
  ☆2,652Updated 2 years ago
• FanzhenLiu / Awesome-Deep-Community-Detection
  Deep and conventional community detection related papers, implementations, datasets, and tools.
  ☆512Updated last year
• divelab / DIG
  A library for graph deep learning research
  ☆1,914Updated 6 months ago
• williamleif / graphsage-simple
  Simple reference implementation of GraphSAGE.
  ☆1,003Updated 4 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,774Updated last year
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆790Updated 2 years ago