Meng Qin

Orcid: 0000-0003-3036-203X

Affiliations:

Hong Kong University of Science and Technology (HKUST), Department of Computer Science & Technology, Tai Po Tsai, Hong Kong
Peking University Shenzhen, School of Electronics and Computer Engineering (SECE), Shenzhen, China
Tianjin University, School of Computer Science and Technology , Tianjin, China

According to our database¹, Meng Qin authored at least 18 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Temporal Link Prediction: A Unified Framework, Taxonomy, and Review.

[BibT_eX]

[DOI]

Meng Qin

Dit-Yan Yeung

ACM Comput. Surv., April, 2024

IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding.

[BibT_eX]

[DOI]

Meng Qin

Dit-Yan Yeung

Trans. Mach. Learn. Res., 2024

Towards a Unified Method for Network Dynamic via Adversarial Weighted Link Prediction.

[BibT_eX]

[DOI]

Meng Qin

CoRR, 2024

Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Faster Graph Partitioning via Pre-Training and Inductive Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE High Performance Extreme Computing Conference, 2024

2023

Towards a Better Tradeoff between Quality and Efficiency of Community Detection: An Inductive Embedding Method across Graphs.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, November, 2023

High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Adaptive Network Embedding with Arbitrary Multiple Information Sources in Attributed Graphs.

[BibT_eX]

[DOI]

Meng Qin

CoRR, 2023

Semantic Random Walk for Graph Representation Learning in Attributed Graphs.

[BibT_eX]

[DOI]

Meng Qin

CoRR, 2023

RaftGP: Random Fast Graph Partitioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2022

Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Dual-channel hybrid community detection in attributed networks.

[BibT_eX]

[DOI]

Meng Qin

Kai Lei

Inf. Sci., 2021

2019

Towards a Profiling View for Unsupervised Traffic Classification by Exploring the Statistic Features and Link Patterns.

[BibT_eX]

[DOI]

Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019

Identifying Interpretable Link Communities with User Interactions and Messages in Social Networks.

[BibT_eX]

[DOI]

Wei Li

Meng Qin

Kai Lei

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018

Adaptive community detection incorporating topology and content in social networks<sup>✰</sup>.

[BibT_eX]

[DOI]

Katarzyna Musial-Gabrys

Knowl. Based Syst., 2018

Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 Workshop on Network Meets AI & ML, 2018

2017

Adaptive Community Detection Incorporating Topology and Content in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Meng Qin

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