Graph Neural Network
While several datasets can come in the form of matrices or tensors, many more come in the form of graphs for example social relationships.

Currently this requires stuff like Factorization Machines #229  to be processed. State-of-the-art research shows great promises of Graph Neural Network see this [Graph ConvNet blog post](http://tkipf.github.io/graph-convolutional-networks/) with papers referenced or this [Stanford PPT](http://snap.stanford.edu/proj/embeddings-www/files/nrltutorial-part2-gnns.pdf).

Repo to be monitored: https://github.com/data61/stellar