Effective, efficient and scalable processing of the graph of graphs

对图的图进行有效、高效且可扩展的处理

• 批准号: LP210301046
• 负责人: Prof Ying Zhang
• 金额: $ 22.44万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-10-02 至 2026-10-01
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP210301046
• 关键词: Effective; efficient; scalable; processing; graph

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.

该项目旨在开发新的方法来实现图的图（GoG）的价值，该图已被广泛用于捕获结构化实体之间的关系。将解决几个关键挑战：更好的模型来捕捉结构化实体的相似性和凝聚力，提高效率，以及GoG处理和分析的更大可扩展性。该项目中开发的新模型和算法将被纳入一个原型，用于评估，并为商业，工业和学术界展示现实世界的实用价值。该项目的成功将为许多重要的应用带来重大利益，如健康，网络安全和电子商务。