Data and Knowledge
Research Group

We are ranked world top 3 in the area of databases (2015-2024, SIGMOD, VLDB and ICDE publications according to CSrankings.org).

The Data and Knowledge Research Group at UNSW is a world leader in database, data management, and (big) data analytics. Our research accelerates data-intensive applications, and supports insightful knowledge extraction from large-scale, complex and dynamic real-life datasets. Our investigation covers graph/network data, spatial-temporal data, relational data, multi-media data, text data, and more. Our research generates translational outcomes in e-business, finance, health, mining, cyber-security, online education and training, transportation, and biotechnology.

Research Interests

Graph Data Analytics and Management

Including data mining, data streams, distributed database systems, spatial database systems, and web databases

Multi-media Data Processing

Including image data, video data, audio data, as well as sequence data and hypertext data containing text, text markups, and linkages.

AI4DB / DB4AI

Machine learning algorithms for graph structured data and database systems, including developing graph neural network architectures and applying machine learning techniques to improve the algorithms in database domain.

Text Mining

The process of transforming unstructured text into a structured format to identify meaningful patterns and new insights

Spatial-Temporal Data Processing

Spatial keyword search, spatial-social data processing

Our Research Projects

Australian Research Council Discovery Project (2024-2026)

Towards Processing of Big Streaming Temporal Graphs

Australian Research Council Discovery Project (2024-x)

Next-Generation Distributed Graph Engine for Big Graphs

Australian Research Council Discovery Project (2018-2020)

Efficient Processing of Large Scale Multi-dimensional Graphs

More projects

Contact

For more information, email us at
wenjie.zhang@unsw.edu.au