Effective and Efficient Representation Learning for Graph Structures

2019.

Cited by: 0|Bibtex|Views20

Abstract:

Graph structures are a powerful abstraction of many real-world data, such as human interactions and information networks. Despite the powerful abstraction, graphs are challenging to model due to the high-dimensional, irregular and heterogeneous characteristics of many real-world graph data. An essential problem arose is how to effectively...More

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