The LArge-scale Graph Analytics and Systems (LAGAS) Group advances graph data science by analyzing relationships across domains and using graphs as the core computational model to extract insight. We design scalable graph algorithms and systems that enable efficient traversal, learning, and analytics on large, complex networks. Our work spans diverse applications—from social networks and recommendation for information retrieval and bioinformatics—unifying them through relational structure and interaction patterns in graph data. By treating connections as first-class signals and implementing high-performance graph computation, we turn heterogeneous data into actionable intelligence at scale
LAGAS, HKBU
LArge-scale Graph Analytics and Systems
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Awesome-Item-ID-Gen-RecSys
Awesome-Item-ID-Gen-RecSys PublicUpdating curated list of research advancements on item identification and item tokenization in generative recommender systems. The survey is titled "A Survey of Item Identifiers in Generative Recom…
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Awesome-Graph-Datasets
Awesome-Graph-Datasets PublicA curated list of graph datasets of various types, including plaingraphs, attributed graphs, bipartite graphs, text-attributed graphs, multi-modal graphs, temporal graphs, etc.
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- Awesome-Item-ID-Gen-RecSys Public
Updating curated list of research advancements on item identification and item tokenization in generative recommender systems. The survey is titled "A Survey of Item Identifiers in Generative Recommendation: Construction, Alignment, and Generation"
HKBU-LAGAS/Awesome-Item-ID-Gen-RecSys’s past year of commit activity - Awesome-Graph-Datasets Public
A curated list of graph datasets of various types, including plaingraphs, attributed graphs, bipartite graphs, text-attributed graphs, multi-modal graphs, temporal graphs, etc.
HKBU-LAGAS/Awesome-Graph-Datasets’s past year of commit activity - .github Public
HKBU-LAGAS/.github’s past year of commit activity - NILC Public
HKBU-LAGAS/NILC’s past year of commit activity - DEMM Public
The official implementation of SIGMOD 2026 paper titled "Effective Clustering for Large Multi-Relational Graphs"
HKBU-LAGAS/DEMM’s past year of commit activity - CASO Public
the official implementation of CIKM2025 paper "Community-Aware Social Community Recommendation"
HKBU-LAGAS/CASO’s past year of commit activity - Locle Public
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
HKBU-LAGAS/Locle’s past year of commit activity - ClustGDD Public
the official implementation of KDD2025 paper "Simple yet Effective Graph Distillation via Clustering"
HKBU-LAGAS/ClustGDD’s past year of commit activity - Cequel Public
HKBU-LAGAS/Cequel’s past year of commit activity
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