Unsupervised Episode Generation for Graph Meta-learning
In this paper, we investigate Unsupervised Episode Generation methods to solve Few-Shot
Node-Classification (FSNC) problem via Meta-learning without labels. Dominant meta …
Node-Classification (FSNC) problem via Meta-learning without labels. Dominant meta …
Understanding the Role of Spectral Signal in Unsupervised Graph Domain Adaptation
Q Gao, X Teng, S Mo, J Liu - openreview.net
Unsupervised graph domain adaptation (GDA) addresses the challenge of transferring
knowledge from labeled source graphs to unlabeled target graphs. However, existing …
knowledge from labeled source graphs to unlabeled target graphs. However, existing …