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Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
lncRNA-drug
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
DAESTB: Inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoder
lncRNA-drug resistance
DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction
Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'
基于Flask框架构建的Web系统
Predicting CircRNA-Disease associations via feature convolution learning with heterogeneous graph attention network
This code and data were provided for the paper "Predicting CircRNA-Drug Sensitivity Associations via Graph Attention Auto-Encoder"
Implementation of Graph Convolutional Networks in TensorFlow
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation
a novel deep learning method to stydy miRNA-disease associations
Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs
HBRWRLDA: Predicting Potential LncRNA–Disease Associations Based on Hypergraph Bi-Random Walk with Restart
[WSDM'2023] "Heterogeneous Graph Contrastive Learning for Recommendation"
HGNNLDA: Predicting lncRNA-drug sensitivity associations via a dual channel hypergraph neural network
A computational model used to predict potential associations between lncRNAs and diseases
Using a combination of incremental principal component analysis (IPCA) and random forest (RF) algorithms and by integrating multiple similarity matrices, we propose a new algorithm (IPCARF) based on integrated machine learning technology for predicting lncRNA-disease associations.
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
A Pytorch Recommendation Framework with Implicit Feedback.
MDN 学习区示例中文版
Github repo for the MDN Learning Area.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.