31 citations · 31 across the 4 of their papers we have counts for
4 papers
WEM: A Node Importance Algorithm in Weighted Networks
Linjie Chen, Na Zhao, Jie Li +3
In view of the node importance in weighted networks, weighted expected method (WEM), was proposed in this paper, which take an advantages of uncertain graph algorithm. First, a wei…
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
Na zhao, Zhen Long, Zhi-Dan Zhao +1
Due to a large amount of information, it is difficult for users to find what they are interested in among the many choices. In order to improve users' experience, recommendation sy…
Identifying significant edges via neighborhood information
Na Zhao, Jie Li, Jian Wang +3
Heterogeneous nature of real networks implies that different edges play different roles in network structure and functions, and thus to identify significant edges is of high value…
Node similarity distribution of complex networks and its application in link prediction
Cunlai Pu, Jie Li, Jian Wang +1
Over the years, quantifying the similarity of nodes has been a hot topic in complex networks, yet little has been known about the distributions of node-similarity. In this paper, w…