| Paper | Code | Weighted F1 | Accuracy | ModelName | ReleaseDate |
|---|---|---|---|---|---|
| Tracing Intricate Cues in Dialogue: Joint Graph Structure and Sentiment Dynamics for Multimodal Emotion Recognition | ✓ Link | 44.93 | 46.82 | GraphSmile | 2024-07-31 |
| MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation | ✓ Link | 44.11 | 45.67 | MMGCN | 2021-07-14 |
| COGMEN: COntextualized GNN based Multimodal Emotion recognitioN | ✓ Link | 43.90 | COGMEN | 2022-05-05 | |
| MM-DFN: Multimodal Dynamic Fusion Network for Emotion Recognition in Conversations | ✓ Link | 42.98 | 45.29 | MM-DFN | 2022-03-04 |
| Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation | ✓ Link | 41.12 | 43.67 | M3Net | 2023-01-01 |
| DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations | ✓ Link | 26.55 | 37.88 | DialogueCRN | 2021-06-03 |
| Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations | ✓ Link | 25.95 | 38.60 | SACL-LSTM | 2023-06-02 |