10 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Training Graph Neural Networks by Graphon Estimation
Ziqing Hu, Yihao Fang, Lizhen Lin
In this work, we propose to train a graph neural network via resampling from a graphon estimate obtained from the underlying network data. More specifically, the graphon or the lin…
cs.LG2020★ 10 cited
Optimization of Graph Neural Networks with Natural Gradient Descent
Mohammad Rasool Izadi, Yihao Fang, Robert Stevenson +1
In this work, we propose to employ information-geometric tools to optimize a graph neural network architecture such as the graph convolutional networks. More specifically, we devel…