Introduction to PyTorch BigGraph — with Examples

Network Photo by Alina Grubnyak on Unsplash PyTorch BigGraph is a tool to create and handle large graph embeddings for machine learning. Currently there are two approaches in graph-based neural networks: Directly use the graph structure and feed it to a neural network. The graph structure is then preserved at every layer. graphCNNs use that approach, see for instance my post or this paper on that. But most graphs are too large for that. So it’s also reasonable to create a large embedding of the graph. And then use it as features in a traditional neural network. PyTorch BigGraph handles the […]

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