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Very exciting extension of Neural Turing Machines. As a side note: Gated Graph Sequence Neural Networks ( https://arxiv.org/abs/1511.05493 ) perform similarly or better on the bAbI…

Mini-batching is indeed tricky, as you need the information of the complete local neighborhood for all nodes in a mini-batch. Let's say you select N nodes for a mini-batch, then yo…

Currently the framework only supports undirected graphs, so directed graphical models wouldn't be supported as input. I can't really judge how useful it would be to take a Bayesian…

In a graphical model, you'd explicitly model the probabilistic assumptions that you make with respect to the data. In this neural network-based approach the goal can be thought of …

Both graph-level and node-level classification are possible. Graph-level classification requires some from of pooling operation (simplest case: mean-pooling over all nodes, but the…