Teaching old labels new tricks in heterogeneous graphs

Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team

Industrial applications of machine learning are commonly composed of various items that have differing data modalities or feature distributions. Heterogeneous graphs (HGs) offer a unified view of these multimodal data systems by defining multiple types of nodes (for each data type) and edges (for the relation between data items). For instance, e-commerce networks might have [user, product, review] nodes or …

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