benedekrozemberczki / karateclubLinks
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
☆2,265Updated last year
Alternatives and similar repositories for karateclub
Users that are interested in karateclub are comparing it to the libraries listed below
Sorting:
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆929Updated 3 years ago
- StellarGraph - Machine Learning on Graphs☆3,043Updated last year
- Implementation of the node2vec algorithm.☆1,291Updated 2 months ago
- Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)☆713Updated last year
- Fastest network node embeddings in the west☆556Updated 11 months ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,389Updated last year
- A curated list of community detection research papers with implementations.☆2,422Updated last year
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,061Updated 7 months ago
- A scikit-learn compatible library for graph kernels☆633Updated 4 months ago
- TGN: Temporal Graph Networks☆1,142Updated last year
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,863Updated 2 years ago
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆648Updated this week
- Library of graph clustering algorithms☆762Updated 2 years ago
- ☆1,286Updated 2 years ago
- Python library assists deep learning on graphs☆566Updated 3 weeks ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆807Updated 2 years ago
- Louvain Community Detection☆1,032Updated last year
- Community Discovery Library☆412Updated 2 months ago
- Graph Algorithms☆625Updated last month
- GraphVite: A General and High-performance Graph Embedding System☆1,266Updated last year
- DeepWalk - Deep Learning for Graphs☆2,743Updated 2 years ago
- ☆2,706Updated 3 years ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,327Updated 4 months ago
- gnn explainer☆1,018Updated last year
- Generate embeddings from large-scale graph-structured data.☆3,418Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,636Updated last year
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆548Updated 3 months ago
- A curated list of network embedding techniques.☆2,621Updated 5 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,814Updated last year
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,648Updated 2 years ago