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Name: gkhappy
Type: User
Name: gkhappy
Type: User
Gaussian mixture models in PyTorch.
GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.
Must-read papers on graph neural networks (GNN)
Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
Graph Attention Networks in Tensorflow 2.0
links to conference publications in graph-based deep learning
Pytorch implementation of Graph U-Nets (ICML19)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
《深入浅出图神经网络:GNN原理解析》配套代码
Graph Neural Networks for Social Recommendation, WWW'19
A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)
Representation learning on large graphs using stochastic graph convolutions.
Pytorch implementation of paper 'GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks' to appear on WSDM2021
GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.
An other implementation of GRU4REC using PyTorch
The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling
[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》
Hierarchical multi-label classification networks
This repository contains the code which can recognise the alphabets in Indian sign language for blind using opencv and tensorflow.
2020年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。
Everything you need to know to get the job.
Python implementation of "Item2Vec: Neural Item Embedding for Collaborative Filtering"
结巴分词(java版)
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
「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。准备 Java 面试,首选 JavaGuide!
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.