An RL-driven heterogeneous graph neural network that selects among four graph structures per process instance achieves modest average accuracy gains on six business process event logs.
Time and activity sequence prediction of business process instances,
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RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
An RL-driven heterogeneous graph neural network that selects among four graph structures per process instance achieves modest average accuracy gains on six business process event logs.