You are here

Predictive Graph Convolutional Networks

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0404
Agency Tracking Number: N19A-017-0139
Amount: $1,999,831.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N19A-T017
Solicitation Number: 19.A
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-06-19
Award End Date (Contract End Date): 2024-07-01
Small Business Information
1818 Library Street Suite 600
Reston, VA 20190-1111
United States
DUNS: 107939233
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Sean Daugherty
 (703) 326-2919
Business Contact
 Seth Blackwell
Phone: (703) 326-2907
Research Institution
 Northeastern University Professional Advancement Network
 Craig Mannett
360 Huntington Ave
Boston, MA 02115-0000
United States

 (617) 373-6869
 Nonprofit College or University

Increased availability of graph-structured military data and recent technical advances in neural network design and training methods has led to an opportunity to advance the state of the art while simultaneously establishing and improving the ability:(1) to monitor a platform or force, (2) to predict capabilities and limitations of the force, and (3) to suggest opportunities and vulnerabilities. To that end, Metron and Northeastern University have developed in Phase I and propose to extend in Phase II a predictive graph convolutional network capability called TIDYNGS that provides Timely Inference on DYNamic Graph Sequences.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government