Deep Learning library for Tree Transductions Learning.
This is a PyTorch/DGL based library for learning of generic deep tree transductions (e.g. tree-to-tree, tree classification/regression, tree-to-sequence).
The library is the deep neural part of the framework developed during the LISTIT Project.
This repository provides only the essential modules of the library, for more information and future updated version visit pyTreeLearn.