Efficient and scalable similarity query processing on big streaming graphs

Project Member(s): Zhang, Y.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)
Australian Research Council (ARC Discovery Projects)

Start year: 2021

Summary: Similarity search is a fundamental problem to a broad spectrum of applications. The success of this project will bring breakthroughs in technology advances in the processing of big graphs including novel indexing, scalable processing techniques, complexity analysis, and system development.

Publications:

Wang, K, Lin, X, Qin, L, Zhang, W & Zhang, Y 2022, 'Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs', The VLDB Journal, vol. 31, no. 2, pp. 203-226.
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Cheng, D, Wang, X, Zhang, Y & Zhang, L 1970, 'Risk Guarantee Prediction in Networked-Loans', Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}, International Joint Conferences on Artificial Intelligence Organization, pp. 4483-4489.
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FOR Codes: Database Management, Information Processing Services (incl. Data Entry and Capture), Electronic Information Storage and Retrieval Services, Expanding Knowledge in the Information and Computing Sciences, Database systems, Information systems, technologies and services not elsewhere classified

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.