| GCN-GAN: A non-linear temporal link prediction model for weighted dynamic networks K Lei, M Qin, B Bai, G Zhang, M Yang IEEE INFOCOM 2019-IEEE conference on computer communications, 388-396, 2019 | 223 | 2019 |
| Adaptive community detection incorporating topology and content in social networks✰ M Qin, D Jin, K Lei, D He, B Gabrys, K Musial Knowledge-Based System 161, 342--356, 2018 | 114 | 2018 |
| Temporal link prediction: A unified framework, taxonomy, and review M Qin, DY Yeung ACM Computing Surveys 56 (4), 1-40, 2023 | 30 | 2023 |
| Dual-channel hybrid community detection in attributed networks M Qin, K Lei Information Sciences 551, 146-167, 2021 | 30 | 2021 |
| Adaptive multiple non-negative matrix factorization for temporal link prediction in dynamic networks K Lei, M Qin, B Bai, G Zhang Proceedings of the 2018 ACM SIGCOMM Workshop on Network Meets AI & ML (NetAI …, 2018 | 25 | 2018 |
| Towards a profiling view for unsupervised traffic classification by exploring the statistic features and link patterns M Qin, K Lei, B Bai, G Zhang Proceedings of the 2019 ACM SIGCOMM Workshop on Network Meets AI & ML (NetAI …, 2019 | 22 | 2019 |
| High-quality temporal link prediction for weighted dynamic graphs via inductive embedding aggregation M Qin, C Zhang, B Bai, G Zhang, DY Yeung IEEE Transactions on Knowledge and Data Engineering 35 (9), 9378-9393, 2023 | 20 | 2023 |
| Towards a Better Tradeoff between quality and efficiency of community detection: An inductive embedding method across graphs M Qin, C Zhang, B Bai, G Zhang, DY Yeung ACM Transactions on Knowledge Discovery from Data 17 (9), 1-34, 2023 | 15* | 2023 |
| Identifying interpretable link communities with user interactions and messages in social networks W Li, M Qin, K Lei 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications …, 2019 | 11 | 2019 |
| RaftGP: Random Fast Graph Partitioning Y Gao, M Qin, Y Ding, L Zeng, C Zhang, W Zhang, W Han, R Zhao, B Bai Proceedings of the 27th Annual IEEE High Performance Extreme Computing (HPEC …, 2023 | 6 | 2023 |
| Pre-train and refine: Towards higher efficiency in k-agnostic community detection without quality degradation M Qin, C Zhang, Y Gao, W Zhang, DY Yeung Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Semantic random walk for graph representation learning in attributed graphs M Qin arXiv preprint arXiv:2305.06531, 2023 | 1 | 2023 |
| IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding M Qin, DY Yeung Transactions on Machine Learning Research, 2024 | | 2024 |
| Towards Faster Graph Partitioning via Pre-training and Inductive Inference M Qin, C Zhang, Y Gao, Y Ding, W Jiang, W Zhang, W Han, B Bai arXiv preprint arXiv:2409.00670, 2024 | | 2024 |
| Multi-Task DNS Security Analysis via High-Order Heterogeneous Graph Embedding M Qin arXiv preprint arXiv:2401.07410, 2024 | | 2024 |
| Towards a Unified Method for Network Dynamic via Adversarial Weighted Link Prediction M Qin arXiv preprint arXiv:2401.03444, 2024 | | 2024 |
| Adaptive Network Embedding with Arbitrary Multiple Information Sources in Attributed Graphs M Qin arXiv preprint arXiv:2305.09089, 2023 | | 2023 |
Dr. Bo BaiTheory Lab, Central Research Institute, 2012 Labs, Huawei Technologies Co., Ltd.Email verificata su huawei.com