Enhancing Ecological Momentary Assessment (EMA) Forecasting through Graph Neural Networks and Personalized Graph Structures
Graph Neural Networks (GNNs) can enhance the forecasting of Ecological Momentary Assessment (EMA) data by effectively capturing the complex temporal and spatial dependencies inherent in the data, outperforming traditional models like LSTM.