152 citations · 152 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Graph Out-of-Distribution Generalization with Controllable Data Augmentation
Bin Lu, Xiaoying Gan, Ze Zhao +4
Graph Neural Network (GNN) has demonstrated extraordinary performance in classifying graph properties. However, due to the selection bias of training and testing data (e.g., traini…
cs.LG2016★ 152 cited
Why Deep Neural Networks for Function Approximation?
Shiyu Liang, R. Srikant
Recently there has been much interest in understanding why deep neural networks are preferred to shallow networks. We show that, for a large class of piecewise smooth functions, th…