Adaptive Community Detection Incorporating Topology and Content in Social Networks. - Meng Qin 002; Di Jin 001; Dongxiao He; Bogdan Gabrys; Katarzyna Musial (ASONAM, 2017)

Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks. - Kai Lei; Meng Qin 002; Bo Bai 001; Gong Zhang 001 (NetAI@SIGCOMM, 2018)

Adaptive community detection incorporating topology and content in social networks✰. - Meng Qin 002; Di Jin 001; Kai Lei; Bogdan Gabrys; Katarzyna Musial-Gabrys (Knowl. Based Syst., 2018)

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks. - Kai Lei; Meng Qin 002; Bo Bai 001; Gong Zhang 001; Min Yang 007 (INFOCOM, 2019)

Identifying Interpretable Link Communities with User Interactions and Messages in Social Networks. - Wei Li; Meng Qin 002; Kai Lei (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Towards a Profiling View for Unsupervised Traffic Classification by Exploring the Statistic Features and Link Patterns. - Meng Qin 002; Kai Lei; Bo Bai 001; Gong Zhang 001 (NetAI@SIGCOMM, 2019)

Dual-channel hybrid community detection in attributed networks. - Meng Qin 002; Kai Lei (Inf. Sci., 2021)

Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (CoRR, 2022)

RaftGP: Random Fast Graph Partitioning. - Yu Gao; Meng Qin 002; Yibin Ding; Li Zeng; Chaorui Zhang; Weixi Zhang; Wei Han 004; Rongqian Zhao; Bo Bai 001 (HPEC, 2023)

Semantic Random Walk for Graph Representation Learning in Attributed Graphs. - Meng Qin 002 (CoRR, 2023)

Adaptive Network Embedding with Arbitrary Multiple Information Sources in Attributed Graphs. - Meng Qin 002 (CoRR, 2023)

High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (IEEE Trans. Knowl. Data Eng., 2023)

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs. - Meng Qin 002; Chaorui Zhang; Bo Bai 001; Gong Zhang 001; Dit-Yan Yeung (ACM Trans. Knowl. Discov. Data, 2023)

Towards Faster Graph Partitioning via Pre-Training and Inductive Inference. - Meng Qin 002; Chaorui Zhang; Yu Gao; Yibin Ding; Weipeng Jiang; Weixi Zhang; Wei Han 004; Bo Bai 001 (HPEC, 2024)

Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation. - Meng Qin 002; Chaorui Zhang; Yu Gao; Weixi Zhang; Dit-Yan Yeung (KDD, 2024)

Towards a Unified Method for Network Dynamic via Adversarial Weighted Link Prediction. - Meng Qin 002 (CoRR, 2024)

IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding. - Meng Qin 002; Dit-Yan Yeung (Trans. Mach. Learn. Res., 2024)

Temporal Link Prediction: A Unified Framework, Taxonomy, and Review. - Meng Qin 002; Dit-Yan Yeung (ACM Comput. Surv., 2024)