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genoa_eqtl

GENOA cis-eQTL mapping study

genotyping_23andme

My raw genotyping data from 23andme

ggnn-for-babi-dataset.pytorch.1.0

A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)

gmoea

Official implementation of GMOEA.

gnn-benchmark

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

gnns-for-nlp

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

gof23

设计模式GOF23

graph-convnet-tsp

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (arXiv Pre-print)

graph-neural-network-pyg

PyG (a geometric extension library for PyTorch) implementation of several Graph Neural Networks (GNNs): GCN, GAT, GraphSAGE, etc.

graph-neural-network-review

graph_nets

Build Graph Nets in Tensorflow

graphembedding

Implementation and experiments of graph embedding algorithms.

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphsage-1

graphsage-simple

Simple reference implementation of GraphSAGE.

gwas

GWAS CODE

gwaswithtreeshap

A new method to explore gene-gene and gene-environment interactions in a GWAS using SHAP values.

hicoex

A supervised learning model based on Graph Neural Network to predict gene co-expression from chromatin contacts

high-dimensional-feature-selection-of-medical-data

Feature Selection by Optimized LASSO algorithm

hopes

2018 bioinformatics

hypercubeme

Generate all combinatorially complete datasets from the given genotype list

ibea-ms

IBEA-MS: Performance Indicator based Adaptive Model Selection for Offline Data-Driven Multi-Objective Evolutionary Optimization

information-theory

iotdemos

Demos created by the IoT Engineering team that showcase IoT services in an end-to-end solution

jacobiconv

How Powerful are Spectral Graph Neural Networks

jmetal

jMetal: a framework for multi-objective optimization with metaheuristics

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。在线阅读地址：https://datawhalechina.github.io/key-book/

knowledgegraphdata

史上最大规模1.4亿中文知识图谱开源下载

large-scale-multi-objective-optimization

Large-scale multi-objective optimization related papers