De Bruijn Graph Neural Networks
09/29/2022We have just released a new preprint on De Bruijn Graph Neural Networks, a new approach to time-aware graph learning that leverages the causal topology of time-stamped network data.
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Welcome to Franziska Heeg
04/05/2022
We are welcoming our new team member Franziska Heeg, who joins our chair as a PhD student.
morePaper accepted at The Web Conference
02/09/2022
What is the Markov order of paths in a network? In our latest published work, which has been accepted for publication at The Web Conference (WWW'22), we use Bayesian inference and model selection to address this important question in the modelling of time series data on networks.
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