Lizhen Lin

Training Graph Neural Networks by Graphon Estimation

2021 · 2021 IEEE International Conference on Big Data (Big Data)

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 link probability matrix of the underlying …

Scalable Bayesian high-dimensional local dependence learning

2021 · arXiv (Cornell University)

In this work, we propose a scalable Bayesian procedure for learning the local dependence structure in a high-dimensional model where the variables possess a natural ordering. The ordering of variables can be indexed by time, …