Next-Generation Graph-Level Mining for High-Complexity Data Environments. This project aims to advance Australia's data mining research by developing cutting-edge graph-level mining solutions for high

Description

Next-Generation Graph-Level Mining for High-Complexity Data Environments. This project aims to advance Australia's data mining research by developing cutting-edge graph-level mining solutions for highly complex real-world data environments, such as multi-source, low-quality, and multi-graph data. The research will primarily explore intricate structural interactions in challenging scenarios to generate new knowledge and enable effective, reliable, and robust graph analysis with interpretability. This project will lay the theoretical foundations of this significant research field to strengthen Australia’s world leadership role in data science. Practically, the outcomes should benefit Australian governments and businesses across diverse applications, such as intelligent urban transportation and financial networks.. Scheme: ARC Future Fellowships. Field: 4605 - Data Management and Data Science. Lead: Prof Jia Wu