Unsupervised Episode Generation for Graph Meta-learning

1 code implementation • 27 Jun 2023 • Jihyeong Jung, Sangwoo Seo, Sungwon Kim, Chanyoung Park

Despite the effectiveness of graph contrastive learning (GCL) methods in the FSNC task without using the label information, they mainly learn generic node embeddings without consideration of the downstream task to be solved, which may limit its performance in the FSNC task.

Contrastive Learning Meta-Learning +2