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Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets

Fig 2

Overarching structure of the proposed graph model (E-GAT).

Interpretability details: 1) Nodes: Represent emotional states (text, audio), with attributes encoding feature vectors (red dashed lines link nodes to feature vectors); 2) Edges: Blue solid lines represent dynamic relationships between emotional states; 3) Weights: Edge weights indicate relationship strength—higher weights mean stronger correlation; 4) Temporal Adaptability: Black dashed lines denote feedback loops, illustrating that emotional states evolve over time.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0339946.g002