Mining periodic cliques in temporal networks H Qin, RH Li, G Wang, L Qin, Y Cheng, Y Yuan 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1130-1141, 2019 | 36 | 2019 |
Mining stable communities in temporal networks by density-based clustering H Qin, RH Li, G Wang, X Huang, Y Yuan, JX Yu IEEE Transactions on Big Data 8 (3), 671-684, 2020 | 16 | 2020 |
Periodic communities mining in temporal networks: Concepts and algorithms H Qin, RH Li, Y Yuan, G Wang, W Yang, L Qin IEEE Transactions on Knowledge and Data Engineering 34 (8), 3927-3945, 2020 | 15 | 2020 |
Trust-aware personalized route query using extreme learning machine in location-based social networks Y Ma, Y Yuan, G Wang, X Bi, H Qin Cognitive Computation 10, 965-979, 2018 | 9 | 2018 |
Scaling Up Maximal k-plex Enumeration Q Dai, RH Li, H Qin, M Liao, G Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 8 | 2022 |
Mining bursting communities in temporal graphs H Qin, RH Li, G Wang, L Qin, Y Yuan, Z Zhang arXiv preprint arXiv:1911.02780, 2019 | 8 | 2019 |
Effective and efficient community search in directed graphs across heterogeneous social networks Z Wang, Y Yuan, X Zhou, H Qin Databases Theory and Applications: 31st Australasian Database Conference …, 2020 | 7 | 2020 |
An effective method for community search in large directed attributed graphs Z Wang, Y Yuan, G Wang, H Qin, Y Ma Mobile Ad-hoc and Sensor Networks: 13th International Conference, MSN 2017 …, 2018 | 6 | 2018 |
Efficient personalized pagerank computation: The power of variance-reduced monte carlo approaches M Liao, RH Li, Q Dai, H Chen, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (2), 1-26, 2023 | 4 | 2023 |
Temporal graph cube G Wang, Y Zeng, RH Li, H Qin, X Shi, Y Xia, X Shang, L Hong IEEE Transactions on Knowledge and Data Engineering, 2023 | 4 | 2023 |
Mining bursting core in large temporal graphs H Qin, RH Li, Y Yuan, G Wang, L Qin, Z Zhang Proceedings of the VLDB Endowment, 2022 | 4 | 2022 |
Efficient biclique counting in large bipartite graphs X Ye, RH Li, Q Dai, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (1), 1-26, 2023 | 2 | 2023 |
Colorful h-star core decomposition S Gao, RH Li, H Qin, H Chen, Y Yuan, G Wang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 2588-2601, 2022 | 2 | 2022 |
Butterfly-based higher-order clustering on bipartite networks Y Zheng, H Qin, J Zheng, F Jin, RH Li Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 2 | 2020 |
Efficient Resistance Distance Computation: the Power of Landmark-based Approaches M Liao, RH Li, Q Dai, H Chen, H Qin, G Wang Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 1 | 2023 |
Densest periodic subgraph mining on large temporal graphs H Qin, RH Li, Y Yuan, Y Dai, G Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 1 | 2023 |
Group Identity Matching Across Heterogeneous Social Networks H Qin, Y Yuan, F Zhu, G Wang International Conference on Web Information Systems Engineering, 230-246, 2018 | 1 | 2018 |
Efficient Maximum Fair Clique Search over Large Networks Q Zhang, RH Li, Z Zheng, H Qin, Y Yuan, G Wang arXiv preprint arXiv:2312.04088, 2023 | | 2023 |
Link Prediction in Knowledge Hypergraph Combining Attention and Convolution Network P Jun, XU Hao, QIN Hongchao, LIN Xiaoli, LIU Xiaoqi, W Guoren Journal of Frontiers of Computer Science & Technology 17 (11), 2734, 2023 | | 2023 |
Self-attention Hypergraph Pooling Network. Y Zhao, F Jin, R Li, H Qin, P Cui, G Wang International Journal of Software & Informatics 13 (4), 2023 | | 2023 |