benedekrozemberczki / karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
☆2,220Updated 9 months ago
Alternatives and similar repositories for karateclub:
Users that are interested in karateclub are comparing it to the libraries listed below
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆920Updated 2 years ago
- StellarGraph - Machine Learning on Graphs☆3,000Updated last year
- Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)☆709Updated last year
- Implementation of the node2vec algorithm.☆1,269Updated 9 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,998Updated 4 months ago
- Fastest network node embeddings in the west☆545Updated 4 months ago
- Graph Neural Networks with Keras and Tensorflow 2.☆2,376Updated last year
- GraphVite: A General and High-performance Graph Embedding System☆1,250Updated 10 months ago
- Generate embeddings from large-scale graph-structured data.☆3,411Updated last year
- A curated list of community detection research papers with implementations.☆2,372Updated last year
- Representation learning on large graphs using stochastic graph convolutions.☆3,514Updated 9 months ago
- High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.☆1,299Updated last year
- Python library assists deep learning on graphs☆555Updated last year
- TGN: Temporal Graph Networks☆1,047Updated 11 months ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆795Updated 2 years ago
- ☆1,285Updated last year
- ☆2,671Updated 2 years ago
- Implementation of Graph Auto-Encoders in TensorFlow☆1,686Updated 5 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,795Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,191Updated last month
- gnn explainer☆949Updated 8 months ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,582Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated last year
- DeepWalk - Deep Learning for Graphs☆2,726Updated last year
- A scikit-learn compatible library for graph kernels☆614Updated 6 months ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- A curated list of network embedding techniques.☆2,607Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆828Updated last year
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- A library for graph deep learning research☆1,952Updated 9 months ago