ARC Future Fellowships - Grant ID: FT210100097

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT210100097

Funding Status
Active

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Funded Activity Summary

Enabling Automatic Graph Learning Pipelines with Limited Human Knowledge. 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.

Funded Activity Details

Start Date: 10-01-2022

End Date: 09-01-2026

Funding Scheme: ARC Future Fellowships

Funding Amount: $800,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Expanding Knowledge in Technology |

Other Keywords

Artificial Intelligence and Image Processing | Expanding Knowledge in Technology | Expanding Knowledge in the Information and Computing Sciences | Information Processing Services (incl. Data Entry and Capture) | Pattern Recognition and Data Mining

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