Sun.Jun 09, 2019

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PyTorch-BigGraph: a large-scale graph embedding system

The Morning Paper

PyTorch-BigGraph: a large-scale graph embedding system Lerer et al., SysML’19. We looked at graph neural networks earlier this year, which operate directly over a graph structure. Via graph autoencoders or other means, another approach is to learn embeddings for the nodes in the graph, and then use these embeddings as inputs into a (regular) neural network: Working with graph data directly is difficult, so a common technique is to use graph embedding methods to create vector representation

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