Skip to main content
Figure 5 | EPJ Data Science

Figure 5

From: Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Figure 5

Example of predicted timelines of the number of active nodes in the infectious state, for several data sets and \((\beta ,\mu )\) parameter values, for the dyn-supra + DeepWalk method. The blue, red and gray lines are respectively the number of actual active nodes in state I in the test data, the number of predicted active nodes in state I and the number of active nodes in the test data at time t. Note that the number of active nodes in the test data is almost the same as the total number of active nodes, as the training data is of small size (\(\rho =1\), i.e., \(|D|=|{V}|\))

Back to article page