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
  ☆3,040Updated last year
• benedekrozemberczki / graph2vec
  A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
  ☆927Updated 3 years ago
• VHRanger / nodevectors
  Fastest network node embeddings in the west
  ☆556Updated 11 months ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,420Updated last year
• benedekrozemberczki / littleballoffur
  Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
  ☆713Updated last year
• eliorc / node2vec
  Implementation of the node2vec algorithm.
  ☆1,290Updated 2 months ago
• taynaud / python-louvain
  Louvain Community Detection
  ☆1,030Updated last year
• ysig / GraKeL
  A scikit-learn compatible library for graph kernels
  ☆630Updated 4 months ago
• danielegrattarola / spektral
  Graph Neural Networks with Keras and Tensorflow 2.
  ☆2,389Updated last year
• benedekrozemberczki / datasets
  A repository of pretty cool datasets that I collected for network science and machine learning research.
  ☆648Updated last year
• DeepGraphLearning / graphvite
  GraphVite: A General and High-performance Graph Embedding System
  ☆1,263Updated last year
• palash1992 / GEM
  ☆1,285Updated 2 years ago
• snap-stanford / ogb
  Benchmark datasets, data loaders, and evaluators for graph machine learning
  ☆2,055Updated 7 months ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated 2 weeks ago
• shobrook / communities
  Library of graph clustering algorithms
  ☆761Updated 2 years ago
• snap-stanford / GraphGym
  Platform for designing and evaluating Graph Neural Networks (GNN)
  ☆1,861Updated 2 years ago
• facebookresearch / PyTorch-BigGraph
  Generate embeddings from large-scale graph-structured data.
  ☆3,417Updated last year
• sknetwork-team / scikit-network
  Graph Algorithms
  ☆625Updated 2 weeks ago
• aditya-grover / node2vec
  ☆2,704Updated 3 years ago
• awslabs / dgl-ke
  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
  ☆1,326Updated 4 months ago
• williamleif / GraphSAGE
  Representation learning on large graphs using stochastic graph convolutions.
  ☆3,631Updated last year
• GiulioRossetti / cdlib
  Community Discovery Library
  ☆408Updated 2 months ago
• twitter-research / tgn
  TGN: Temporal Graph Networks
  ☆1,139Updated last year
• benedekrozemberczki / SimGNN
  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
  ☆805Updated 2 years ago
• benedekrozemberczki / awesome-graph-classification
  A collection of important graph embedding, classification and representation learning papers with implementations.
  ☆4,806Updated 2 years ago
• FanzhenLiu / Awesome-Deep-Community-Detection
  Deep and conventional community detection related papers, implementations, datasets, and tools.
  ☆543Updated 3 months ago
• chihming / awesome-network-embedding
  A curated list of network embedding techniques.
  ☆2,620Updated 5 years ago
• pykeen / pykeen
  🤖 A Python library for learning and evaluating knowledge graph embeddings
  ☆1,928Updated this week
• benedekrozemberczki / ClusterGCN
  A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
  ☆806Updated 3 years ago
• RexYing / gnn-model-explainer
  gnn explainer
  ☆1,017Updated last year