The Large-scale dAta manaGement, Analytics, and Science (LAGAS) Group is a team of researchers dedicated to exploring the expansive and multifaceted domain of data science. With an increasing focus on data management and analytics, the group is committed to developing scalable and efficient algorithms and techniques designed to handle diverse data types and complexities. Their research spans a wide array of applications, including social network analysis, recommendation systems, information retrieval, and beyond. By embracing broader research methodologies and directions, the group aims to drive innovation in data science and tackle real-world challenges using cutting-edge technology. Through their efforts, the LAGAS Group seeks to push the boundaries of data science and contribute valuable insights to the field.
LAGAS Group, HKBU
Large-scale dAta manaGement, Analytics and Science
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- Awesome-Item-ID-Gen-RecSys Public
Updating curated list of research advancements on item identification in generative recommender systems.
HKBU-LAGAS/Awesome-Item-ID-Gen-RecSys’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 - .github Public
HKBU-LAGAS/.github’s past year of commit activity - Cequel Public
HKBU-LAGAS/Cequel’s past year of commit activity - S2CAG Public
The official implementation of the KDD2025 paper "Spectral Subspace Clustering for Attributed Graphs"
HKBU-LAGAS/S2CAG’s past year of commit activity
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