Discovery Projects - Grant ID: DP210101347

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP210101347

Funding Status
Active

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Funded Activity Summary

Targeted Graph Embedding for Anomaly Detection in Large-scale Networks. This project aims to tackle the challenging problem of anomaly detection in large-scale networks by leveraging graph embedding techniques. It expects to deliver a series of innovative graph embedding algorithms targeting optimised anomaly detection. By addressing under-developed research challenges, such as the versatile types of anomalies and lack of anomaly labels, the established theories and devised methodologies will advance frontier technologies in both graph anomaly detection and graph representation learning. By uncovering anomalies with high efficiency and accuracy, this project will contribute to multiple real applications from fake review detection to financial fraud identification, bringing both social and economic benefits.

Funded Activity Details

Start Date: 01-01-2021

End Date: 30-06-2024

Funding Scheme: Discovery Projects

Funding Amount: $368,810.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems Management | Pattern Recognition and Data Mining | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Application Tools and System Utilities |

Other Keywords

Application Tools and System Utilities | Artificial Intelligence and Image Processing | Expanding Knowledge in the Information and Computing Sciences | Information Systems Management | Pattern Recognition and Data Mining

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