For a full list of our machine learning projects and publications please see the list of research articles of the lab.
Below, you can find additional information (code, data, supplement) on some of our Machine Learning projects:
Similarity Measures for Structured Data
We develop methods for comparing and classifying structured objects such as graphs, strings or time series. One prominent example are graph kernels, i.e. efficient distance functions between graphs.