2 papers
cs.LG2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment
Wei Dong, Dawei Yan, Peng Wang
Self-supervised node representation learning aims to learn node representations from unlabelled graphs that rival the supervised counterparts. The key towards learning informative…
cs.LG2022
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
Wei Dong, Junsheng Wu, Yi Luo +2
The key towards learning informative node representations in graphs lies in how to gain contextual information from the neighbourhood. In this work, we present a simple-yet-effecti…