Daisy Yi Ding

Handling Missing Data with Graph Representation Learning

2020 · arXiv (Cornell University)

Machine learning with missing data has been approached in two different ways, including feature imputation where missing feature values are estimated based on observed values, and label prediction where downstream labels are learned directly from …