I'll be returning to the NIPS Networks workshop (previously) to present on Search-Convolutional Neural Networks, a new architecture that extends convolutional neural networks to general graph structured data. They offer comparable performance to state-of-the-art (loopy belief prop on a partially observed crf) for relational classification, but are much easier to work with. You can find the paper here.