Effective, efficient and scalable processing of the graph of graphs

Funding: 2023: $61,572
2024: $92,529
2025: $94,135
2026: $64,976

Project Member(s): Zhang, Y., Liang, J., Qin, L.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Australian Research Council (ARC Linkage Projects)
CVA Technology Pty Ltd
ACCESSIBLE ICT PTY LTD

Start year: 2023

Summary: This project aims to develop novel approaches to realise the value of the graph of graphs (GoG), which has been widely used to capture the relations among the structured entities. Several key challenges will be addressed: better models to capture the similarity and cohesiveness of the structured entities, increased efficiency, and greater scalability of the processing and analytics of the GoG. The novel models and algorithms developed within this project will be incorporated into a prototype for both evaluation and to demonstrate real-world practical value for business, industry, and academia. Success in this project should see significant benefits for many important applications such as health, cyber-security and e-commerce.

FOR Codes: Graph, social and multimedia data, Information systems

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.