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Name: MingshuoNie
Type: User
Name: MingshuoNie
Type: User
SLPA社区发现算法
Repository for benchmarking graph neural networks
对数据框中的某个变量进行有监督的分箱操作
Train_community
开源论坛、问答系统,现有功能提问、回复、通知、最新、最热、消除零回复功能。功能持续更新中…… 技术栈 Spring、Spring Boot、MyBatis、MySQL/H2、Bootstrap
Implements of community detection algorithms
[WWW'2021] Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
A novel link prediction method for graph
Fine-tuning an already learned model, adapts the architecture to other datasets
Graph meta learning via local subgraphs (NeurIPS 2020)
Implementation of Graph Convolutional Networks in TensorFlow
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
图神经网络相关算法详述及实现
Supervised community detection with line graph neural networks
Must-read papers on graph neural networks (GNN)
GPF(Graph Processing Flow):利用图神经网络处理问题的一般化流程
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Graph-Structured Optimization Algorithms
In this project, we'll train an image classifier to recognize different species of flowers. We can imagine using something like this in a phone app that tells us the name of the flower our camera is looking at. In practice we'd train this classifier, then export it for use in our application. We'll be using a dataset of 102 flower categories available on the website of Oxford University.
Intro to Reinforcement Learning (强化学习纲要)
✍️ Java 工程师必备架构体系知识总结:涵盖分布式、微服务、RPC等互联网公司常用架构,以及数据存储、缓存、搜索等必备技能
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Collection of various unsupervised and supervised link prediction approaches
链路预测学习代码整理
Representation learning for link prediction within social networks
A comprehensive collection of recent papers on graph deep learning
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.