2022
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms
ICLR 2022poster
Graph neural networks (GNNs) are widely used in regression and classification problems applied to text, in areas such as sentiment analysis and medical decision-making processes. We propose a novel form for node attributes within a GNN based model that captures node-specific embeddings for every wor…