Epidemic Graph Convolutional Network

Tyler Derr
Tyler Derr
Wenqi Fan
Wenqi Fan

WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining Houston TX USA February, 2020, pp. 160-168, 2020.

Cited by: 3|Bibtex|Views143|DOI:https://doi.org/10.1145/3336191.3371807
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

Abstract:

A growing trend recently is to harness the structure of today's big data, where much of the data can be represented as graphs. Simultaneously, graph convolutional networks (GCNs) have been proposed and since seen rapid development. More recently, due to the scalability issues that arise when attempting to utilize these powerful models on ...More

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