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Grant Award View - GA188751-V1
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge
GA ID:
GA188751-V1
Agency:
Australian Research Council
Approval Date:
8-Sep-2021
Variation Publish Date:
6-Oct-2021
Variation Date:
8-Sep-2021
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
8-Sep-2021 to 30-Jun-2025
Value (AUD):
$800,000.00
(GST inclusive where applicable)
Varies:
GA188751
- Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 21/22 Discovery
Grant Program:
ARC Future Fellowships
Grant Activity:
Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge
Purpose:
This project aims to develop an automatic graph learning system for complex graph data analysis. Machine learning for graph data commonly requires significant human knowledge from both domain professionals as well as algorithm experts, rendering existing systems ineffective and unexplainable. This project expects to design novel graph learning techniques which automatically infer graph relations, learn graph models, adapts existing knowledge to new domains, and provide explanations to the graph learning system. The research results should provide benefit to governments and businesses in many critical applications, such as bioassay activity prediction, credit assessment, and drug discovery and vaccine development in response to the pandemic.
GO ID:
GO Title:
Future Fellowships for funding commencing in 2021
Internal Reference ID:
FT21 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
SOUTHPORT
Town/City:
SOUTHPORT
Postcode:
4215
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4215
Country:
AUSTRALIA