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- Title
DeepRank: improving unsupervised node ranking via link discovery.
- Authors
Lai, Yi-An; Hsu, Chin-Chi; Chen, Wen-Hao; Yeh, Mi-Yen; Lin, Shou-De
- Abstract
This paper proposes an unsupervised node-ranking model that considers not only the attributes of nodes in a graph but also the incompleteness of the graph structure. We formulate the unsupervised ranking task into an optimization task and propose a deep neural network (DNN) structure to solve it. The rich representation capability of the DNN structure together with a novel design of the objectives allow the proposed model to significantly outperform the state-of-the-art ranking solutions.
- Subjects
GRAPH theory; DEEP learning; ARTIFICIAL neural networks; PATHS &; cycles in graph theory; MATHEMATICAL optimization
- Publication
Data Mining & Knowledge Discovery, 2019, Vol 33, Issue 2, p474
- ISSN
1384-5810
- Publication type
Article
- DOI
10.1007/s10618-018-0601-y