celtSTEM Research Collaborative: Graph Neural Nets

A collaborative project between the University of St. Thomas - Houston and Rice University to establish a sustainable initiative to foster computational research, addressing the call to prepare a diverse an inclusive STEM workforce by increasing interest and competencies in undergraduate research.

This research involves the departments of Mathematics and Computer Science (UST), Biology (UST) and Computer Science (Rice) to address foundational questions in the area of large-scale graph processing using graph neural nets. Relational database technology will be adapted to perform distributed neural computations over huge graphs, which will be applied to tackle two problems in biology: 1) Metagenomic analyses of mosquitoes genetic sequences to discover viruses carried by mosquitos in Houston, and b) protein motif and structural analysis to discover cell functionality.

This material is based upon work supported by the National Science Foundation under Grant No. 2131293. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.