ConxGNN, a GNN with multi-scale window graphs plus a hypergraph module, achieves 68.52% accuracy on IEMOCAP and 66.28% on MELD, advancing prior SOTA by 2.3 and 0.2 points respectively.
Conversational memory network for emotion recogni- tion in dyadic dialogue videos,
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Effective Context Modeling Framework for Emotion Recognition in Conversations
ConxGNN, a GNN with multi-scale window graphs plus a hypergraph module, achieves 68.52% accuracy on IEMOCAP and 66.28% on MELD, advancing prior SOTA by 2.3 and 0.2 points respectively.