Pytorch implementation to paper "Graph Convolutional Networks for Text Classification".
You can run the whole process very easily. Take the R8 corpus for example,
./scripts/R8.sh clean
./scripts/R8.sh build_dataset
./scripts/R8.sh build_graph
./scripts/R8.sh train
- | Dataset | Accuracy |
---|---|---|
Original | R8 | 97.07% |
This Implementation | R8 | 96.21% |
- | Dataset | Accuracy |
---|---|---|
Original | R52 | 93.56% |
This Implementation | R52 | 92.52% |