Discovery Projects - Grant ID: DP200103700

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP200103700

Funding Status
Active

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Funded Activity Summary

Searching Cohesive Subgraphs in Big Attributed Graph Data. The availability of big attributed graph data brings great opportunities for realizing big values of data. Making sense of such big attributed graph data finds many applications, including health, science, engineering, business, environment, etc. A cohesive subgraph, one of key components that captures the latent properties in a graph, is essential to graph analysis. This project aims to invent effective models of cohesive subgraphs and efficient algorithms for searching and monitoring cohesive subgraphs in big and dynamic attributed graphs from both structure and attribute perspectives. The methods, techniques, and prototype systems developed in this project can be deployed to facilitate the smart use of big graph data across the nation.

Funded Activity Details

Start Date: 01-01-2020

End Date: 31-12-2024

Funding Scheme: Discovery Projects

Funding Amount: $450,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Database Management | Data Format | Data Structures

ANZSRC Socio-Economic Objective (SEO)

Information Processing Services (incl. Data Entry and Capture) | Electronic Information Storage and Retrieval Services |

Other Keywords

Data Format | Data Structures | Database Management | Electronic Information Storage and Retrieval Services | Information Processing Services (incl. Data Entry and Capture)

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