2.1k citations · 3.1k across the 11 of their papers we have counts for
12 papers
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Julian Wörmann, Daniel Bogdoll, Christian Brunner +49
The availability of representative datasets is an essential prerequisite for many successful artificial intelligence and machine learning models. However, in real life applications…
Node-Specific Triad Pattern Mining for Complex-Network Analysis
Marco Winkler, Joerg Reichardt
The mining of graphs in terms of their local substructure is a well-established methodology to analyze networks. It was hypothesized that motifs - subgraph patterns which appear si…
Motifs in Triadic Random Graphs based on Steiner Triple Systems
Marco Winkler, Joerg Reichardt
Conventionally, pairwise relationships between nodes are considered to be the fundamental building blocks of complex networks. However, over the last decade the overabundance of ce…
Comparative Study for Inference of Hidden Classes in Stochastic Block Models
Pan Zhang, Florent Krzakala, Jörg Reichardt +1
Inference of hidden classes in stochastic block model is a classical problem with important applications. Most commonly used methods for this problem involve na\"ıve mean field app…
Information Symmetries in Irreversible Processes
Christopher J. Ellison, John R. Mahoney, Ryan G. James +2
We study dynamical reversibility in stationary stochastic processes from an information theoretic perspective. Extending earlier work on the reversibility of Markov chains, we focu…
The interplay of microscopic and mesoscopic structure in complex networks
Joerg Reichardt, Roberto Alamino, David Saad
Not all nodes in a network are created equal. Differences and similarities exist at both individual node and group levels. Disentangling single node from group properties is crucia…