Cole Hawkins

Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation

2021 · arXiv (Cornell University)

Consistency training is a popular method to improve deep learning models in computer vision and natural language processing. Graph neural networks (GNNs) have achieved remarkable performance in a variety of network science learning tasks, but …