Young‐Jin Park

Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments

2020 · arXiv (Cornell University)

Graph representation learning is gaining popularity in a wide range of applications, such as social networks analysis, computational biology, and recommender systems. However, different with positive results from many academic studies, applying graph neural networks …