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Official implementation for paper "Predictive Modeling with Temporal Graphical Representation on Electronic Health Records"

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Code for BEHRT: Transformer for Electronic Health Records

论文写作与资料分享

Geom_GCN re-implementation using only pytorch. ( Not using DGL)

Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric

Reimplementation of ICLR20 paper "Geom-GCN: Geometric Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).

Reimplementation of NeurIPS 2020 paper "Beyond homophily in graph neural networks: Current limitations and effective designs" based on PyTorch and PyTorch Geometric (PyG).

A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs".

Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)

Code for "Graph Neural Network on Electronic Health Records for Predicting Alzheimer’s Disease"

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

Sequence modeling benchmarks and temporal convolutional networks

Implementation of Transformer encoder in PyTorch

深挖b站如何控评-对阿瓦隆系统探究

COVID-19 EHR data analysis pipeline

This repository contains codes for Timeline model

Retain implement in pytorch and tensorflow

RETAIN: Interpretable Predictive Model in Healthcare using Reverse Time Attention Mechanism

Dipole implement in pytorch and tensorflow

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

Graph-based Attention Model

NLTK Data

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare (IJCAI 2021)