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PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

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Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
data		data
models		models
preprocess		preprocess
src		src
utils		utils
.DS_Store		.DS_Store
.gitignore		.gitignore
README.md		README.md
config.py		config.py
run.sh		run.sh
train.py		train.py
tsne.py		tsne.py

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text_gcn.pytorch

This project implements "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019." in PyTorch.

This implementation highly based on official code yao8839836/text_gcn.

Require

Python 3.6
PyTorch 1.0

Running training and evaluation

cd ./preprocess
Run python remove_words.py <dataset>
Run python build_graph.py <dataset>
cd ..
Run python train.py <dataset>
Replace <dataset> with 20ng, R8, R52, ohsumed or mr

Visualization

R8

R8_gcn_test

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PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

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