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20172025
most citedPredicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks

149 citations · 200 across the 9 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 2 cited

CIMUFS: Complementary and Consensus Learning-based Incomplete Multi-view Unsupervised Feature Selection

Yanyong Huang, Zongxin Shen, Yuxin Cai +4

Multi-view unsupervised feature selection (MUFS) has been demonstrated as an effective technique to reduce the dimensionality of multi-view unlabeled data. The existing methods ass…

cs.LG2022

Incremental Unsupervised Feature Selection for Dynamic Incomplete Multi-view Data

Yanyong Huang, Kejun Guo, Xiuwen Yi +2

Multi-view unsupervised feature selection has been proven to be efficient in reducing the dimensionality of multi-view unlabeled data with high dimensions. The previous methods ass…