CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting

The article introduces CauSTream, a new approach for streamflow forecasting using causal spatio-temporal representation learning. The focus is on understanding and modeling the causal relationships within the data to improve prediction accuracy. The source is ArXiv, indicating a research paper.