Pytorch implementation to paper "DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation".
You can run the whole process very easily. Take the IEMOCAP corpus for example:
./scripts/iemocap.sh preprocess./scripts/iemocap.sh train| - | Dataset | Weighted F1 |
|---|---|---|
| Original | IEMOCAP | 64.18% |
| This Implementation | IEMOCAP | 64.10% |
Mian Zhang (Github: mianzhang)