Code for our paper "Investigating Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network" in TASLP
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Mi Zhang and Tieyun Qian,Convolution over Hierarchical Level Sentiment Analysis,EMNLP2020
代码实现五种区块链共识算法 The code implements five blockchain consensus algorithms
A Distributed consensus abstract simulator: A discrete simulator of peer to peer communication over a network running various distributed consensus algorithms (such as PBFT and Blockchain)
Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"
Code for paper "Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks"
BlockMRS is a privacy concious, decentralized, blockchain-backed, medical record system for the 21st Century. It stores patient records in IPFS using state-of-the art asymetric encryption giving patients control over their health data.
In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
