Graph Neural Networks

2020-06-11 A Comprehensive Survey on Graph Neural Networks
SUMMARY EXCERPT: The authors propose a taxonomy of graph neural networks.
[summary] [ipynb] [paper]

2020-06-14 Graph Neural Networks For Decentralized Controllers
SUMMARY EXCERPT: This paper describes the application of graph convolutional neural networks (GCNNs) and graph recurrent neural networks (GRNNs) to the problem of learning a decentralized controller. Determination...
[summary] [ipynb] [paper]

2020-06-15 Neural Message Passing for Quantum Chemistry
SUMMARY EXCERPT: The authors describe a general framework for supervised learning on graphs called Message Passing Neural Networks (MPNNs) which subsumes previous approaches. Leveraging this framework, they explore...
[summary] [ipynb] [paper]