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Found 3 papers, 1 papers with code
Graph Convolutional Networks: analysis, improvements and results
In this context, we enhanced two of the existing Graph convolutional network models by proposing four enhancements.
PROFET: Construction and Inference of DBNs Based on Mathematical Models
From the generation of the DBN model to temporal inference, the entire process is automated and is delivered as an open-source platform-independent software application with a comprehensive user interface.
Dealing with Stochasticity in Biological ODE Models
The results show that DBNs are capable of inferring the model variables of the ODE model with high accuracy in situations where data is missing, incomplete, sparse and irregular and true values of model parameters are not known.
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