26 citations · 27 across the 2 of their papers we have counts for
4 papers
Influence Maximization in Real-World Closed Social Networks
Shixun Huang, Wenqing Lin, Zhifeng Bao +1
In the last few years, many closed social networks such as WhatsAPP and WeChat have emerged to cater for people's growing demand of privacy and independence. In a closed social net…
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries
Sibo Wang, Renchi Yang, Runhui Wang +5
Given a graph , a source node and a target node , the personalized PageRank (PPR) of with respect to is the probability that a random walk starting from termi…
Initialization for Network Embedding: A Graph Partition Approach
Wenqing Lin, Feng He, Faqiang Zhang +2
Network embedding has been intensively studied in the literature and widely used in various applications, such as link prediction and node classification. While previous work focus…
Distributed Algorithms for Fully Personalized PageRank on Large Graphs
Wenqing Lin
Personalized PageRank (PPR) has enormous applications, such as link prediction and recommendation systems for social networks, which often require the fully PPR to be known. Beside…