Graph Embeddings
4 projects
Showing 4 of 4 projects
Awesome graph classificationPython
A curated collection of graph classification papers with implementations covering embeddings, deep learning, kernels, and factorization.
#graph-neural-networks#graph2vec#research-papers
Stars4.8k
Forks728
Last commit3 years ago
PyTorch-BigGraphPython
A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
#negative-sampling#entity-embeddings#knowledge-graphs
Stars3.5k
Forks454
Last commit2 years ago
Awesome Network Embedding
A curated list of network embedding techniques, including papers, implementations, and related resources for graph representation learning.
#graph-neural-networks#knowledge-graphs#research-papers
Stars2.6k
Forks496
Last commit5 years ago
Karate Club - An unsupervised machine learning library for graph structured dataPython
An API-oriented Python framework for unsupervised learning on graphs, featuring node/graph embeddings and community detection.
#deepwalk#networkx#python-library
Stars2.3k
Forks257
Last commit1 year ago
Related Tags
Community-curated · Updated weekly · 100% open source
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.