Title:
Intelligent Design through Graph Generation with Deep Generative Models and Reinforcement Learning
Agreement Value:
$200,200.00
Agreement Date:
Mar 24, 2020 - Mar 31, 2022
Description:
The objective of this project is to develop general machine learning techniques for graph generation, with the end application of smart design including new material discovery, advanced circuit design, and novel drug invention, amongst many others. Research will focus on deep generative models and reinforcement learning for the generation of graphs with optimized properties. The representation power of graph will be leveraged to sufficiently encode the key compositional behaviours and their interplays of the target domain, and treat developing a novel design as a new graph structure generation process with various composition constraints. The decomposition in the former can be attained through deep generative models with disentangled latent variables, and the composition search space in the latter can be effectively explored by deep enforcement learning.
Organization:
National Research Council Canada
Expected Results:
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Location:
Montreal, Quebec, CA H3T 2A7
Reference Number:
172-2019-2020-Q4-947409
Report Type:
Grants and Contributions
Recipient Business Number:
107278905
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 152 days. The total amended value is 100,000 dollars.
Recipient's Operating Name:
HEC Montreal
Recipient's Legal Name:
HEC Montreal
Federal Riding Name:
Outremont
Federal Riding Number:
24054
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.