PyTorch-BigGraph: Faster embeddings of extremely large graphs

Introduced PyTorch-BigGraph (PBG), a new tool for training multi-relation graph embeddings on extremely large graphs (billions of nodes, trillions of edges). PBG shards nodes and edges, performs multi-threaded training on single or multiple machines, and outputs node embeddings. It is built on PyTorch, allowing for easy customization of loss functions and models. PBG is designed to be robust, scalable, and orders of magnitude faster than commonly used embedding software, producing comparable quality embeddings.