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Grant Award View - GA142352

Deep Learning for Graph Isomorphism: Theories and Applications

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

:

GA ID:
GA142352
Agency:
Australian Research Council
Approval Date:
11-Dec-2020
Publish Date:
15-Dec-2020
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
1-Jan-2022 to 31-Dec-2024
Original: 1-Jan-2021 to 31-Dec-2023
Value (AUD):
$407,167.00 (GST inclusive where applicable)
Variations:

One-off/Ad hoc:
No
Aggregate Grant Award:
No

PBS Program Name:
ARC 20/21 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Deep Learning for Graph Isomorphism: Theories and Applications
Purpose:
This project aims to investigate graph isomorphism, a fundamental problem in graph theory, using deep learning techniques. Solutions to graph isomorphism are in demand by researchers in many fields of science, such as biology, chemistry, computer science, and quantum computing. The project expects to advance knowledge about graph isomorphism and state-of-the-art methodologies for its applications. The expected outcomes include new theoretical insights on combinatorial structures of graphs, efficient heuristic techniques for (maximum) subgraph isomorphism, and structured representation learning. The project should provide significant benefits to research in a wide range of science fields, as well as many real-world applications.

GO ID:
GO Title:
Discovery Projects for funding commencing in 2021
Internal Reference ID:
DP21 Round 1
Selection Process:
Targeted or Restricted Competitive

Confidentiality - Contract:
No
Confidentiality - Outputs:
No

Grant Recipient Details

Recipient Name:
The Australian National University
Recipient ABN:
52 234 063 906

Grant Recipient Location

Suburb:
ACTON
Town/City:
ACTON
Postcode:
2601
State/Territory:
ACT
Country:
AUSTRALIA

Grant Delivery Location

State/Territory:
ACT
Postcode:
2601
Country:
AUSTRALIA

Contact Details

ARC NCGP General Enquiries

:
02 6287 6600

: