MDEA: Modeling Depressive Emotions Aligned with Knowledge Graphs and Large Language Models

This paper introduces a novel framework for Modeling Depressive Emotions Aligned with knowledge graphs and Large Language Models (MDEA), aiming at enhancing the accuracy and interpretability of diagnosing and predicting depressive emotions. Experimental results demonstrate the outstanding performance of graph neural networks based on knowledge graphs in emotion analysis and depression detection.