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Network context is a necessary component in modeling infectious disease transmissions such as HIV. GCN, when combined with traditional machine learning approaches, achieved promising performance in detecting previously unknown HIV infections, which may provide a useful tool for combatting the HIV epidemic.

journal of the american medical informatics association

Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men