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CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural Networks

2024-02-09

Abstract excerpt

<title>Abstract</title> <p>Electronic Health Records (EHRs) play a crucial role in shaping predictive healthcare models, yet they encounter challenges such as significant data gaps and class imbalances. Traditional Graph Neural Networks (GNNs) approaches have limitations in fully leveraging neighbourhood data or demanding intensive computational regularisation. To address this challenge, we introduce CliqueFluxNe...

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Literature Corpus work
470e2379-0003-5c84-968f-15afeb71479e
DOI
10.21203/rs.3.rs-3918610/v1
Open publication

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CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation using Graph Neural NetworksDOI 10.21203/rs.3.rs-3918610/v1
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