21 citations · 72 across the 42 of their papers we have counts for
3 papers · 2 filters
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes
Lukas Galke, Iacopo Vagliano, Benedikt Franke +3
Lifelong graph learning deals with the problem of continually adapting graph neural network (GNN) models to changes in evolving graphs. We address two critical challenges of lifelo…
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
Fabian Singhofer, Aygul Garifullina, Mathias Kern +1
Traditional approaches for data anonymization consider relational data and textual data independently. We propose rx-anon, an anonymization approach for heterogeneous semi-structur…
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes
Ishwar Venugopal, Jessica Töllich, Michael Fairbank +1
Deep-learning models such as Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) have been successfully used for process-mining tasks. They have achieved better p…