supervised relation extraction for PCNN (Zeng 2014) in pytorch 关系抽取

The pytorch implementation of relational extraction models with PCNN feature extractor and multi-instance learning

Pytorch reimplementation of PCNN-ATT model from Lin et. al. (2016)

Bert + PCNNs (-One) for RE Task

This module provides automatic differentiation support for CoolProp thermodynamic property calculations within PyTorch computational graphs. It enables gradient backpropagation through refrigerant property calculations, which is essential for PCNN-GC.