grant
OAC Core: Accurate and Scalable Temporal Graph ML on Distributed Heterogeneous Systems
Organization University of Southern CaliforniaLocation LOS ANGELES, United StatesPosted 1 May 2025Deadline 30 Apr 2028
NSFUS FederalResearch GrantScience FoundationCA
Description preview
This project develops scalable and accurate solutions for Temporal Graph Machine Learning (TGML), for analyzing dynamic and evolving relationships in large-scale data. TGML has broad applications, including cybersecurity, traffic forecasting, climate modeling, and knowledge discovery. As real-world data continues to grow, there is a pressing need…
🔒
Start 7-day free trial — $29.99/mo →Full details available on the Agency plan
Unlock the complete grant description, eligibility criteria, contract value, evaluation details and apply link — plus alerts, pipeline tracking, and CSV export.
Agency Plan
7-day free trialUnlock procurement & grants
Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.
$29.99 / month
- 🔔Email alerts for new matching tenders
- 🗂️Track tenders in your pipeline
- 💰Filter by contract value
- 📥Export results to CSV
- 📌Save searches with one click