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Found 3 papers, 2 papers with code
INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
We compare the results of various models to demonstrate the importance of capturing graph representation, temporal dependencies, and using a profit-driven methodology for evaluation.
Influencer Detection with Dynamic Graph Neural Networks
Leveraging network information for prediction tasks has become a common practice in many domains.
Expert-driven Trace Clustering with Instance-level Constraints
Within the field of process mining, several different trace clustering approaches exist for partitioning traces or process instances into similar groups.
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