This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal Project Grant award of $160,338, awarded on Sep 1, 2024, will support the Illinois Institute of Technology (IIT) Sponsored Research and Programs Division in conducting collaborative research on advanced graph neural network models. The key objectives of this 3-year project include:
- Developing more expressive and efficient graph neural networks
- Creating improved generative models for graphs
- Applying graph learning techniques to optimization problems
- Exploring the use of graph neural networks for discovering physical relations
The proposed research aims to advance graph learning capabilities and their applications in scientific fields such as social network analysis, molecular design, and physical systems modeling. This work is expected to produce new mathematical/statistical tools, theoretical frameworks, and assessment methods to enhance researchers' ability to analyze, generate, and optimize graph-structured data across various domains. The project also provides research training opportunities for undergraduate and graduate students.
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