943 citations · 1.4k across the 31 of their papers we have counts for
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3 papers · 1 filter
cs.SI2019
A Framework of Transferring Structures Across Large-scale Information Networks
Shan Xue, Jie Lu, Guangquan Zhang +1
The existing domain-specific methods for mining information networks in machine learning aims to represent the nodes of an information network into a vector format. However, the re…
cs.SI2019★ 16 cited
Cross-domain Network Representations
Shan Xue, Jie Lu, Guangquan Zhang
The purpose of network representation is to learn a set of latent features by obtaining community information from network structures to provide knowledge for machine learning task…
cs.SI2015
Nonnegative Multi-level Network Factorization for Latent Factor Analysis
Junyu Xuan, Jie Lu, Xiangfeng Luo +1
Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices and has been widely used for unsupervised learning tasks such as product r…