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Driven by application areas ranging from biology to the World Wide Web, research in Data Mining and Machine Learning is nowadays increasingly focusing on the analysis of structured data. Of particular interest are data that consist of interrelated parts or data that are characterized by collections of interrelated objects, linked together into complex graphs and structures. Dealing with such interrelated data is one of the major research challenges that we are facing. The aim of this specialdoi:10.1007/s10994-010-5209-4 fatcat:nkqdpuwjabejnbrrvfyyjyzgeq