Our article about “Graph Relevance Miner” has been published in Decision Support Systems
Our article “A technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks”, has been accepted for publication in the Decision Support Systems journal. In this article, we design Graph Relevance Miner (GRM), a technique based on graph neural networks, to determine the relevance scores for process activities with respect to performance measures. A process model, annotated with such relevance scores, facilitates a problem-focused analysis of the business process.
Decision Support Systems is one of the most impactful journals in the information systems community. You can read the open access article here.