A preferable way of data representation is a network structure as a large number of local and global interactions are covered. A description of all nodes in the network by graph theoretical features is performed via feature engineering. It is important to note that humanly designed features hold both negative and positive implications. On the one hand they introduce human biases to the system, on the other hand they live from prior knowledge, which may be favourable over black-box models. The chosen features characterise a specific question posed from the view of chemical reaction engineering and aim to capture both local and global structures. For arbitrary other network problems, the features may be designed differently.