facebookresearch/PyTorch-BigGraph
A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
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PyTorch-BigGraph (PBG) is a distributed system developed by Facebook Research for learning graph embeddings for large-scale graphs. It trains on edge lists, producing feature vectors for each entity where adjacent entities are placed closer together in vector space. It supports GPU training and is designed for graphs with up to billions of entities.
Frequently asked
- What is facebookresearch/PyTorch-BigGraph?
- A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.
- Is PyTorch-BigGraph open source?
- Yes — facebookresearch/PyTorch-BigGraph is an open-source project tracked on heatdrop.
- What language is PyTorch-BigGraph written in?
- facebookresearch/PyTorch-BigGraph is primarily written in Python.
- How popular is PyTorch-BigGraph?
- facebookresearch/PyTorch-BigGraph has 3.5k stars on GitHub.
- Where can I find PyTorch-BigGraph?
- facebookresearch/PyTorch-BigGraph is on GitHub at https://github.com/facebookresearch/PyTorch-BigGraph.