Oct 1, 2017 · While PGN can cope with information retrieval/recommendation problems at a low cost, this method also transforms a complex heterogeneous graph ...

Personalized Navigation and Random Walk on a Complex. Heterogeneous Graph. Xiaozhong Liu*. School of Informatics and Computing. Indiana University Bloomington.

While PGN can cope with information retrieval/recommendation problems at a low cost, this method also transforms a complex heterogeneous graph into a ...

Unlike earlier expert-guided random walk approaches, by using an EM framework, PGN estimates the personalized usefulness probability distribution for each edge ...

Personalized Navigation and Random Walk on a Complex Heterogeneous Graph ; Proceedings of the ACM SIGIR International Conference on Theory of Information ...

Xiaozhong Liu, Yingying Yu, Zhuoren Jiang, Chun Guo, Scott Jensen: Personalized Navigation and Random Walk on a Complex Heterogeneous Graph.

May 3, 2024 · As another example, they are widely used in healthcare to support practitioners for disease diagnosis by knowledge discovery from patients'.

Random walk with restart (RWR) is the state-of-the-art guilt-by-association approach. It explores the network vicinity of gene/protein seeds to study their ...

Random Walk with Restart (RWR) is an algorithm developed to provide the distance (or closennes) between nodes in a graph.

A powerful way to extract information about the structure of a network is to analyze the behavior of a walker randomly “diffusing” on it.