GNN4PPM: Multi-Target Predictive Process Monitoring with Relational Graph Convolutional Networks
GNN4PPM is introduced, an approach that predicts all next events along with their complete data payload at once and represents event information in a heterogeneous knowledge graph that captures the event log as an RDF semantics, and train the embeddings with a Relational Graph Convolutional Network (R-GCN).