Temporal Multiresolution Graph Neural Networks For Epidemic Prediction. (arXiv:2205.14831v2 [cs.LG] UPDATED)

In this paper, we introduce Temporal Multiresolution Graph Neural Networks
(TMGNN), the first architecture that both learns to construct the multiscale
and multiresolution graph structures and incorporates the time-series signals
to capture the temporal changes of the dynamic graphs. We have applied our
proposed model to the task of predicting future spreading of epidemic and
pandemic based on the historical time-series data collected from the actual
COVID-19 pandemic and chickenpox epidemic in several European countries, and
have obtained competitive results …

arxiv epidemic graph graph neural networks networks neural networks prediction temporal