19 citations · 34 across the 12 of their papers we have counts for
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stat.ML2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model
Yirui Liu, Xinghao Qiao, Liying Wang +1
Training deep graph neural networks (GNNs) poses a challenging task, as the performance of GNNs may suffer from the number of hidden message-passing layers. The literature has focu…
math.ST2022
Adaptive Functional Thresholding for Sparse Covariance Function Estimation in High Dimensions
Qin Fang, Shaojun Guo, Xinghao Qiao
Covariance function estimation is a fundamental task in multivariate functional data analysis and arises in many applications. In this paper, we consider estimating sparse covarian…