A convenient wrapper to develop graph neural networks with Keras. Currently under development with the objective of integrating Networkx, Owlready2 and oneM2M for structured deep learning models in IoT.
A non-exhaustive list of relevant papers:
It would be awesome to work easily with directed labeled multi-graphs, as it's a nice representation for relational data. Being able to easily interwork with ontologies is also quite convenient. At an higher level, enabling routines to handle oneM2M's base ontology would simplify the development of deep learning applications in the IoT.