We are the Big Graph Group at Hong Kong University of Science and Technology. Our research interests include:
- Scalable Community Detection and Search
- Graph Neural Networks
- Big Graph Storage, Query Processing and Mining
- Dynamic Graph Indexing and Processing
- Parallel and Distributed Systems
- In-memory & External-memory Algorithms
News
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September 01, 2022
Zhiyuan’s paper CC-GNN: A Community and Contraction-based Graph Neural Network has been accepted in ICDM 2022.
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November 18, 2021
Xun’s paper Publishing Graphs under Node Differential Privacy has been accepted in TKDE.
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October 01, 2021
Alex’s paper Butterfly Counting on Uncertain Bipartite Graphs has been accepted in VLDB 2022.
Projects
Incremental Operators on Distributed Graphs
This project aims to design algorithms solving SSSP, SimRank, and Community Detection on distributed and dynamic graphs.
Theta-join SQL Operators Optimization on Distributed Systems
This project aims to design algorithms to accelerate theta-join SQL operators on distributed systems.
Multi-Hop Neighbor Query on Distributed Graphs
This project aims to design algorithms to query multi-hop neighbors on distributed graphs.
People
Faculty
Lei Chen
Professor
Current PhD Students
Anxin Tian
Zhiyuan Li
Alexander Zhou
Current MPhil Students
Qixiao Zhong
Former PhD Students
Former Research Assistant
Past Visitings
Wenjie Liu
Associate Professor