Facebook, Inc.

Bram Wasti

Shengbo Guo

James Li

Cheng Ju

The disclosed computer-implemented method may include (1) maintaining a heterogeneous graph that represents (a) objects of a first type, (b) objects of a second type, and (c) relationships between the objects of the first type and objects of the second type, (2) using features of the objects of the first type to train a first embedding model to generate embeddings of the first type that (a) predict a label of objects of the first type and (b) predict, when combined with embeddings of the second type, graphical relationships in the graph, and (3) using features of each of the objects of the second type to train a second embedding model to generate the embeddings of the second type that predict, when combined with the embeddings of the first type, the graphical relationships in the graph. Various other methods, systems, and computer-readable media are also disclosed.

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Redwood City, CA, United States of America

Bram Wasti