Fig. 1

SCEA Workflow, The model consists of a basic MLP neural network with multiple layers and a graph attention neural network used for final dimensionality reduction. The reduced dimensionality of the graph will be used for clustering with the KMeans algorithm. KL loss represents the Kullback Leibler divergence and MAE is the Mean Absolute Error