activity
20172021
most citedEnumerating k-Vertex Connected Components in Large Graphs

4 citations · 13 across the 9 of their papers we have counts for

collaborators

13 papers

cs.SI20211 cited

Towards User Engagement Dynamics in Social Networks

Qingyuan Linghu, Fan Zhang, Xuemin Lin +2

The engagement of each user in a social network is an essential indicator for maintaining a sustainable service. Existing studies use the of a user to well estimate its…

cs.DB20202 cited

Efficient and Effective Community Search on Large-scale Bipartite Graphs

Kai Wang, Wenjie Zhang, Xuemin Lin +3

Bipartite graphs are widely used to model relationships between two types of entities. Community search retrieves densely connected subgraphs containing a query vertex, which has b…

cs.SI20201 cited

Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs

Yizhang He, Kai Wang, Wenjie Zhang +2

We propose a novel cohesive subgraph model called -strengthened -core (denoted as -core), which is the first to consider both tie strength and vertex engagement…

cs.DB20201 cited

AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing

Michael Yu, Lu Qin, Ying Zhang +2

Triangle listing is an important topic significant in many practical applications. Efficient algorithms exist for the task of triangle listing. Recent algorithms leverage an orient…

cs.DC2020

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems

Yuanhang Yu, Dong Wen, Ying Zhang +3

Matrix Factorization (MF) has been widely applied in machine learning and data mining. A large number of algorithms have been studied to factorize matrices. Among them, stochastic…

cs.LG2020

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Hanchen Wang, Defu Lian, Ying Zhang +2

Entity interaction prediction is essential in many important applications such as chemistry, biology, material science, and medical science. The problem becomes quite challenging w…