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2 curated events
papersTODAY 04:00 UTC

GNN4PPM: Graph Neural Networks for Multi-Target Predictive Process Monitoring

A new arXiv paper proposes GNN4PPM, which applies relational graph convolutional networks to predictive process monitoring. The method targets several predictions at once, such as the next event in a running process, the time remaining until a trace finishes, and its eventual outcome. The authors argue that existing techniques typically address only one of these targets; the posted abstract is truncated before any experimental results are described.

papersTODAY 04:00 UTC

arXiv Paper Proposes 'BlueSky' Research Agenda for Agentic Process Mining

A newly revised arXiv preprint argues that process mining should move beyond retrospective analysis of event logs toward supporting process-aware AI agents that take governed actions. The authors sketch a research agenda, framed as a BlueSky vision, covering how such agents would move from understanding recorded behavior to acting on it under governance constraints. The work positions agentic AI as a shift in what process mining is expected to deliver.