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Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction _or_contribution.pdf} file.
大数据入门指南 :star:
Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
A pytorch adversarial library for attack and defense methods on images and graphs
Must-read papers on graph neural networks (GNN)
links to conference publications in graph-based deep learning
《深入浅出图神经网络:GNN原理解析》配套代码
Microservices example
PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.
Mobile App for Frappe built on Flutter
Detecting and analyzing deep learning usage on smartphone apps
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Graph Neural Network Library for PyTorch
这是一个使用了springboot+springSecurity+jwt实现的基于token的权限管理的一个demo
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.