The National Science Foundation (NSF) awarded a $469,787 Project Grant to Trustees of Boston University under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant funds the design and development of GNNSuite, a novel unified framework for scaling graph machine learning workloads on modern storage technology. Key project objectives include methods and tools for training and serving large graph neural network (GNN) models on larger-than-memory graphs without accuracy loss, targeting applications such as chemical synthesis, recommender systems, fraud detection, and distributed service management. The three-year project (October 1, 2023 to September 30, 2026) involves in-situ neighborhood sampling, prefetching optimizations, a three-layered data organization approach, and continual training with experience replay to increase the accessibility and integration of GNNs in business analytics pipelines.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $469.8k | 7/24/23 |