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09/14/2023
Locating Community Smells in Software Development Processes Using Higher-Order Network Centralities
Community smells are negative patterns in software development teams' in...
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01/16/2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs
Mesoscale structures are an integral part of the abstraction and analysi...
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10/27/2022
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior
Many network analysis and graph learning techniques are based on models ...
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10/14/2022
One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium
Natural Language Processing and Machine Learning have considerably advan...
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09/17/2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
We introduce De Bruijn Graph Neural Networks (DBGNNs), a novel time-awar...
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07/26/2021
Predicting Influential Higher-Order Patterns in Temporal Network Data
Networks are frequently used to model complex systems comprised of inter...
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08/16/2019
