A Study on Graph-Structured Recurrent Neural Networks and Sparsification with Application to Epidemic Forecasting

Zhijian Li, Xiyang Luo, Bao Wang +2

We study epidemic forecasting on real-world health data by a graph-structured recurrent neural network (GSRNN). We achieve state-of-the-art forecasting accuracy on the benchmark CD…