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20192022
most citedUncertainty Aware Semi-Supervised Learning on Graph Data

53 citations · 83 across the 8 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Multidimensional Uncertainty-Aware Evidential Neural Networks

Yibo Hu, Yuzhe Ou, Xujiang Zhao +2

Traditional deep neural networks (NNs) have significantly contributed to the state-of-the-art performance in the task of classification under various application domains. However,…

cs.LG2020★ 53 cited

Uncertainty Aware Semi-Supervised Learning on Graph Data

Xujiang Zhao, Feng Chen, Shu Hu +1

Thanks to graph neural networks (GNNs), semi-supervised node classification has shown the state-of-the-art performance in graph data. However, GNNs have not considered different ty…