Unsupervised episode generation for graph meta-learning

J Jung, S Seo, S Kim, C Park - arxiv preprint arxiv:2306.15217, 2023 - arxiv.org
We propose Unsupervised Episode Generation method called Neighbors as Queries (NaQ)
to solve the Few-Shot Node-Classification (FSNC) task by unsupervised Graph 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 …