Community smells are negative patterns in software development teams'
in...
Background: Despite a growing body of literature on the impact of softwa...
The analysis of temporal networks heavily depends on the analysis of
tim...
Resilience denotes the capacity of a system to withstand shocks and its
...
Many network analysis and graph learning techniques are based on models ...
Natural Language Processing and Machine Learning have considerably advan...
We introduce De Bruijn Graph Neural Networks (DBGNNs), a novel time-awar...
Massive data from software repositories and collaboration tools are wide...
We introduce time-ordered multibody interactions to describe complex sys...
Networks are frequently used to model complex systems comprised of
inter...
We propose a novel sequence prediction method for sequential data captur...
We study the problem of learning the Markov order in categorical sequenc...
Data from software repositories have become an important foundation for ...
Graph drawing and visualisation techniques are important tools for the
e...
Graph or network representations are an important foundation for data mi...
Data from software repositories have become an important foundation for ...