yao8839836/text_gcn
A TensorFlow implementation of Graph Convolutional Networks for text classification, based on an AAAI 2019 research paper.
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This repository implements Text GCN, a graph-based deep learning approach to text classification where documents and words are represented as nodes in a unified graph. The model learns embeddings by applying graph convolutional operations over the word-document co-occurrence graph. It supports multiple benchmark datasets (20ng, R8, R52, ohsumed, mr) and uses TensorFlow for implementation.
Frequently asked
- What is yao8839836/text_gcn?
- A TensorFlow implementation of Graph Convolutional Networks for text classification, based on an AAAI 2019 research paper.
- Is text_gcn open source?
- Yes — yao8839836/text_gcn is an open-source project tracked on heatdrop.
- What language is text_gcn written in?
- yao8839836/text_gcn is primarily written in Python.
- How popular is text_gcn?
- yao8839836/text_gcn has 1.4k stars on GitHub.
- Where can I find text_gcn?
- yao8839836/text_gcn is on GitHub at https://github.com/yao8839836/text_gcn.