DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

Extracting disease-specific genomic coordinates from GWAS catalog

3D force-directed graph component using ThreeJS/WebGL

Self-supervised graph learning with hyperbolic embedding for temporal health event prediction (IEEE Cybernetics)

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

A Deep Learning Python Toolkit for Healthcare Applications.

The first Chinese Multimodal Medical Knowledge Graph

Medical Graph for Neo4j

Code repo of "Context-aware and Time-aware Attention-based Model for Disease Risk Prediction with Interpretability"

Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Full reconstruction of simplicial complexes from binary simplicial dynamics

SYNERGY - Open machine learning dataset on study selection in systematic reviews

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

A unified framework for Deep Learning Models on tabular data

Code and website related to the eICU Collaborative Research Database

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

[CVPR2023] This is an official implementation of paper "DETRs with Hybrid Matching".

Python implementation of "M3W: Multistep Three-Way Clustering"

A Python library that allows decision trees to abstein from making a decision

Shenglong Yu, Hong Zhao*, Rough sets and Laplacian score based cost-sensitive feature selection. PLOS ONE, 2018, 13(6):e0197564

Rough set of python scripts for fetching JSON data, shoving it into a database, and plotting graphs.

GBRS: A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set