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20152026
most citedLearning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples

43 citations · 60 across the 13 of their papers we have counts for

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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…