Microsoft Technology Licensing, LLC

Kathryn L Evans

Aastha Jain

Ankan Saha

Aastha Nigam

Yiou Xiao

Zhanglong Liu

In an example embodiment, a deep learning model is used to learn embedding representations of a heterogeneous information network, where the embedding represents entity-specific properties and network environment properties. Position-aware embeddings specific to the heterogeneous information network may be used as input features of the deep learning model. Furthermore, meta-path embedding specific to the heterogeneous information network may also be used as input features of the deep learning model. Modified embedding propagation methods are further designed to explore better ways to capture network meta-path properties.

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Kathryn L Evans