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

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 2 cited

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…