and modern deep learning. They explored flexible learning-based approaches which implement strong relational inductive biases to capitalize on explicitly structured representations and computations, ...

Open source deep learning neural networks are coming of age ... retrieve the results of discretionary data on any edge of the graph. This is extremely helpful for debugging complicated ...

In contrast, changing the order of pixels results in a different image and will cause the neural network that processes them to behave differently. To make graphs useful to deep learning ...

Also: Google Brain, Microsoft plumb the mysteries of networks with AI The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service ...