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Our starting\npoint is previous work on Graph Neural Networks (Scarselli et al., 2009), which\nwe modify to use gated recurrent units and modern optimization techniques and\nthen extend to output sequences. The result is a flexible and broadly useful\nclass of neural network models that has favorable inductive biases relative to\npurely sequence-based models (e.g., LSTMs) when the problem is\ngraph-structured. We demonstrate the capabilities on some simple AI (bAbI) and\ngraph algorithm learning tasks. We then show it achieves state-of-the-art\nperformance on a problem from program verification, in which subgraphs need to\nbe matched to abstract data structures.","url_abs":"http://arxiv.org/abs/1511.05493v4","url_pdf":"http://arxiv.org/pdf/1511.05493v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 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