The National Science Foundation Division of Mathematical Sciences awarded a $240,002 Project Grant to the University of Delaware from September 1, 2021 to August 31, 2024 under the Mathematical and Physical Sciences (47.049) federal grant program.
The grant supports research into Neural Network Learning for Graph Data. The University of Delaware will develop methodologies, theoretical frameworks, and perform simulation and experimentation to advance the mathematics and science of graph neural networks. Johns Hopkins University was awarded a sub-grant of $240,002 to contribute to the methodological development, theoretical investigation, and simulation and experimentation with the goal of principled understanding and advancement of graph neural networks. Both organizations will leverage their work to strengthen the nation's scientific enterprise and increase knowledge in major problems related to mathematical and physical sciences, as intended under the federal grant program.
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