A Graph Transformer Network for Predicting Remaining Process Time

A new graph-based deep learning model for estimating how long business operations will take to complete is presented by PGTNet. Both local control-flow patterns and global interdependence across process activities are captured by PGTNet through the use of Graph Transformer Networks (GTNs) and the conversion of event logs into graph datasets.