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Yixiang Fang
Yixiang Fang
Associate Professor, The Chinese University of Hong Kong, Shenzhen
Overená e-mailová adresa na: cuhk.edu.cn - Domovská stránka
Názov
Citované v
Citované v
Rok
Effective Community Search for Large Attributed Graphs
Y Fang, R Cheng, S Luo, J Hu
Proceedings of the VLDB Endowment 9 (12), 1233-1244, 2016
3412016
A Survey of Community Search Over Big Graphs
Y Fang, X Huang, L Qin, Y Zhang, W Zhang, R Cheng, X Lin
The VLDB Journal 29 (1), 353-392, 2020
3282020
Effective Community Search over Large Spatial Graphs
Y Fang, R Cheng, X Li, S Luo, J Hu
Proceedings of the VLDB Endowment 10 (6), 709-720, 2017
2362017
Effective and Efficient Community Search over Large Heterogeneous Information Networks
Y Fang, Y Yang, W Zhang, X Lin, X Cao
Proceedings of the VLDB Endowment 13 (6), 854-867, 2020
1692020
Efficient Algorithms for Densest Subgraph Discovery
Y Fang, K Yu, R Cheng, LVS Lakshmanan, X Lin
Proceedings of the VLDB Endowment 12 (11), 1719-1732, 2019
1222019
Effective and efficient attributed community search
Y Fang, R Cheng, Y Chen, S Luo, J Hu
The VLDB Journal 26, 803-828, 2017
1142017
Effective and Efficient Community Search over Large Directed Graphs
Y Fang, Z Wang, R Cheng, H Wang, J Hu
IEEE Transactions on Knowledge and Data Engineering 31 (11), 2093-2107, 2018
962018
Inductive Link Prediction for Nodes Having Only Attribute Information
Y Hao, X Cao, Y Fang, X Xie, S Wang
International Joint Conferences on Artificial Intelligence (IJCAI), 1209-1215, 2020
912020
Efficient algorithms for densest subgraph discovery on large directed graphs
C Ma, Y Fang, R Cheng, LVS Lakshmanan, W Zhang, X Lin
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
812020
Purtreeclust: A clustering algorithm for customer segmentation from massive customer transaction data
X Chen, Y Fang, M Yang, F Nie, Z Zhao, JZ Huang
IEEE transactions on knowledge and data engineering 30 (3), 559-572, 2017
802017
Detecting hot topics from Twitter: A multiview approach
Y Fang, H Zhang, Y Ye, X Li
Journal of Information Science 40, (5): 578-593, 2014
802014
Discovering maximal motif cliques in large heterogeneous information networks
J Hu, R Cheng, KCC Chang, A Sankar, Y Fang, BYH Lam
2019 IEEE 35th International Conference on Data Engineering (ICDE), 746-757, 2019
752019
On Spatial-Aware Community Search
Y Fang, Z Wang, R Cheng, X Li, S Luo, J Hu, X Chen
IEEE Transactions on Knowledge and Data Engineering 31 (4), 783-798, 2019
752019
On embedding uncertain graphs
J Hu, R Cheng, Z Huang, Y Fang, S Luo
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
652017
Detecting communities from heterogeneous graphs: A context path-based graph neural network model
L Luo, Y Fang, X Cao, X Zhang, W Zhang
Proceedings of the 30th ACM international conference on information …, 2021
632021
LINC: A Motif Counting Algorithm for Uncertain Graphs
C Ma, R Cheng, LVS Lakshmanan, T Grubenmann, Y Fang, X Li
Proceedings of the VLDB Endowment 13 (2), 155-168, 2019
612019
Scalable Algorithms for Nearest-Neighbor Joins on Big Trajectory Data
Y Fang, R Cheng, W Tang, S Maniu, X Yang
IEEE Transactions on Knowledge and Data Engineering 28 (3), 785-800, 2016
602016
Querying minimal steiner maximum-connected subgraphs in large graphs
J Hu, X Wu, R Cheng, S Luo, Y Fang
Proceedings of the 25th ACM International on Conference on Information and …, 2016
572016
Effective and efficient truss computation over large heterogeneous information networks
Y Yang, Y Fang, X Lin, W Zhang
IEEE International Conference on Data Engineering (ICDE), 2020
542020
Walking in the Cloud: Parallel SimRank at Scale
Z Li, Y Fang, Q Liu, J Cheng, R Cheng, JCS Lui
Proceedings of the VLDB Endowment 9 (1), 13-24, 2015
532015
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–20