Embracing the Standard: Scalable Subgraph Search by Graph Query Language. The project aims to develop novel graph processing techniques based on GQL (graph query language), the first-ever query langua

Description

Embracing the Standard: Scalable Subgraph Search by Graph Query Language. The project aims to develop novel graph processing techniques based on GQL (graph query language), the first-ever query language standard for graph databases released by the ISO in 2024. Most existing graph algorithms mainly focus on low-level programming languages, suffering from weak portability and usability. We fill this research gap by investigating subgraph mining and querying algorithms implemented by GQL. We will also develop a system to support GQL-based tasks. Expected outcomes include theoretical foundations, efficient GQL algorithms, and an open-source prototype. Success in this project will create new opportunities in the Australian IT industry and see benefits in areas such as cybersecurity, e-commerce, and health.. Scheme: Discovery Projects. Field: 4605 - Data Management and Data Science. Lead: Prof Lu Qin