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The code of APP, Scalable Graph Embedding for Asymmetric Proximity. Zhou, Chang and Liu, Yuqiong and Liu, Xiaofei and Liu, Zhongyi and Gao, Jun AAAI 2017
The source codes for D2AGE model. Distance-aware DAG Embedding for Proximity Search on Heterogeneous Graphs.
DeepWalk - Deep Learning for Graphs
weighted deepwalk implementation in c++
QGIS differential privacy processing plugin
Implementation of generative models for directed and weighted graphs using low-rank approximations
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data
Codes for differentially-private distributed PCA
Source code of paper "Differentially Private Generative Adversarial Network"
Implementation of a differentially private generative adversarial network.
Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.
Implementations about GAN, Improved GAN, DCGAN, LAPGAN, and InfoGAN in PyTorch
Four network embedding algorithms(deepwalk, node2vec, TADW ,LINE) for two datasets(Cora, Tencent Weibo)
Node2vec-DeepWalk-LINE algorithms for small, medium and large Datasets
Graph Sampling is a python package containing various approaches which samples the original graph according to different sample sizes.
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.
Kernel K-Means Sampling for Nystrom Approximation
Link prediction based on node2vec
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep
Testing link prediction using Node2Vec with AUC test
PPGANs: Privacy-preserving Generative Adversarial Networks。
Differentially private data publishing algorithm for classification
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.