PT Unknown AU Pau Riba Anjan Dutta Josep Llados Alicia Fornes TI Graph-based deep learning for graphics classification BT 14th International Conference on Document Analysis and Recognition PY 2017 BP 29 EP 30 DI 10.1109/ICDAR.2017.262 AB Graph-based representations are a common way to deal with graphics recognition problems. However, previous works were mainly focused on developing learning-free techniques. The success of deep learning frameworks have proved that learning is a powerful tool to solve many problems, however it is not straightforward to extend these methodologies to non euclidean data such as graphs. On the other hand, graphs are a good representational structure for graphical entities. In this work, we present some deep learning techniques that have been proposed in the literature for graph-based representations andwe show how they can be used in graphics recognition problems ER