Cohesive Subgraph Discovery on Big Bipartite Graphs

大二分图上的内聚子图发现

• 批准号: DP200101116
• 负责人: Prof Wenjie Zhang
• 金额: $ 30.2万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP200101116
• 关键词: Cohesive; Subgraph; Discovery; Big; Bipartite

This project aims to develop novel technology for efficient and scalable cohesive subgraph discovery on big bipartite graphs, including new theories, indexing techniques, and data processing algorithms. We anticipate addressing key challenges and laying scientific foundations of big graph computation, as well as delivering high-impact technologies. The success of the project will directly benefit the key applications in Australia such as cyber-security, health, bio-informatics, social networks, and E-commerce. The success of the project will also facilitate the training of PhD graduates and postdoctoral research associates in the area of Big Data.

本项目旨在开发新的技术，以有效和可扩展的大二部图上的凝聚子图发现，包括新的理论，索引技术和数据处理算法。我们预计将解决关键挑战，为大图计算奠定科学基础，并提供高影响力的技术。该项目的成功将直接有利于澳大利亚的关键应用，如网络安全，健康，生物信息学，社交网络和电子商务。该项目的成功还将促进大数据领域博士毕业生和博士后研究助理的培训。