1. Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning;Nebel;Neurocomputing,2017
2. Graph kernels for chemical informatics;Ralaivola;Neural Netw.,2005
3. B. Paaßen, C. Gallicchio, A. Micheli, A. Sperduti, Embeddings and representation learning for structured data, in: M. Verleysen (Ed.), Proceedings of the 27th European Symposium on Artificial Neural Networks, ESANN 2019, 2019, pp. 85–94.
4. Handbook of Molecular Descriptors;Todeschini,2000
5. Comparing methods for comparing networks;Tantardini;Sci. Rep.,2019