1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
Ling Yang, Ye Tian, Minkai Xu +7
GNN-to-MLP distillation aims to utilize knowledge distillation (KD) to learn computationally-efficient multi-layer perceptron (student MLP) on graph data by mimicking the output re…
stat.ML2022★ 1 cited
Deep Maxout Network Gaussian Process
Libin Liang, Ye Tian, Ge Cheng
Study of neural networks with infinite width is important for better understanding of the neural network in practical application. In this work, we derive the equivalence of the de…