This National Science Foundation (NSF) Project Grant award, under the NSF Engineering (CFDA 47.041) program, provides $400,000 in funding to Michigan State University (MSU) from January 1, 2025 to December 31, 2027. The award is focused on developing a comprehensive disentangled graph representation learning framework to address the complexities of graph-structured biomedical data. Key objectives include structured disentangled multi-view graph inference, multi-view disentangled graph representation learning, multimodal disentangled learning, and application to brain connectomics and cancer biology data. The aim is to uncover associations between modalities and disease characteristics, refine patient stratification, and improve treatment through tailored therapies. This research is expected to benefit areas such as multimodal machine learning, social analytics, biology, health informatics, and infrastructure systems. The award does not involve any planned sub-awards.
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