Word Embedding Distribution Propagation Graph Network for Few-Shot Learning.Few-shot learning (FSL) is of great significance to the field of machine learning.  Our proposed method embeds semantic information of classes into a GNN, creating a word embedding distribution propagation graph network (WPGN) for FSL. 
Word Embedding Distribution Propagation Graph Network
Our proposed method embeds semantic information of classes into a GNN, creating a word embedding distribution propagation graph network (WPGN) for FSL.  In extensive experiments on FSL benchmarks, compared with the baseline model, the accuracy of the WPGN on the 5-way-1/2/5 shot tasks increased by 9.03, 4.56, and 4.15%, respectively.
WPGN