Jan 10, 2022 · In this work, we propose a community search model that is capable of finding multiple target communities with few given sample nodes and ...
Jan 10, 2022 · The model is termed as Searching Target Communities with Outliers (STCO), which collaborates user's preference into the process of searching to ...
Xin Huang, Hong Cheng, Lu Qin, Wentao Tian, Jeffrey Xu Yu, Querying k-truss community in large and dynamic graphs, in: Proceedings of the ACM SIGMOD ...
Classical community search methods aim to detect local communities containing a set of sample nodes provided by users, which have been wildly studied in ...
Apr 6, 2022 · We propose an efficient and flexible motif discovery algo- rithm by taking advantage of sub-graph and meta path queries. (i.e. human behaviour), ...
Outliers can distort statistical analyses. Learn whether you should remove outliers from your data and how to analyze your data when you can't remove them.
While detecting dense groups with high levels of connectivity and similar interests between their members is the main target of traditional network analysis, ...
Community search is individualized and targeted, which identifies local communities containing query nodes and meeting specific conditions only according to ...
Abstract. In this paper, we propose a novel framework, called. Semi-supervised Embedding in Attributed Networks with Outliers (SEANO), to learn a ...