2017
Deep Learning with Dynamic Computation Graphs
ICLR 2017poster
Neural networks that compute over graph structures are a natural fit for problems in a variety of domains, including natural language (parse trees) and cheminformatics (molecular graphs). However, since the computation graph has a different shape and size for every input, such networks do not direct…