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Is there a deep learning library supporting convolution for tree-structured data? There are those (like Caffe) that support standard image recognition type convolution that work for matrix-structured data like bitmap images that accept parameters like stride. I am looking for a similar thing but for (binary) labelled trees. Think of the nodes taking the role of the pixels and the parent-relation as the spacial relation like the neighbourhood relation in bitmaps. |
