TextGCN Graph Convolutional Networks for Text Classification
https://arxiv.org/abs/1809.05679
1.build a single text graph for a corpus based on word co-occurrence and document word relations,
2.then learn a Text Graph Convolutional Network (Text GCN) for the corpus. Our Text GCN is initialized with one-hot representation for word and document, it then jointly learns the embeddings for both words and documents, as supervised by the known class labels for documents.
TextGCN Graph Convolutional Networks for Text Classification