2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations
NeurIPS 2023poster
Unsupervised node representations learnt using contrastive learning-based methods have shown good performance on downstream tasks. However, these methods rely on augmentations that mimic low-pass filters, limiting their performance on tasks requiring different eigen-spectrum parts. This paper presen…