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Name: Kekun HU
Type: User
Name: Kekun HU
Type: User
Oracle の高速なグラフ分析
links to conference publications in graph-based deep learning
Graph based Knowledge Distillation: A Survey
Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper
This repository contains the resources on graph neural network (GNN) considering heterophily.
Graph Convolutional Neural Networks for Theano
Sample Code for Graph Partition Neural Networks
Project to study distributed graph partitioning techniques by implementing the JaBeJa algorithm using Java. It was evaluated using several graphs 3elt, add20, Twitter, and several modifications to the original algorithm were tested.
Papers on Graph Pooling (GNN-Pooling)
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
A streaming algorithm for graph clustering
Pytorch implementation of Graph U-Nets (ICML19)
Build Graph Nets in Tensorflow
Graph Nets (GN) implement by pytorch
Boost.org graph_parallel module
A Comprehensive Benchmark Suite for Graph Computing
The GraphBuilder library provides functions to construct large scale graphs. It is implemented on Apache Hadoop.
GraphChi's C++ version. Big Data - small machine.
*Experimental* GraphChi-DB graph database with computational capabilities
示例代碼
Graphlab from CMU: A New Parallel Framework for Machine Learning
SDK for Turi's GraphLab Create.
GraphMat graph analytics framework
This directory contains code necessary to run the GraphNAS algorithm.
serial and distributed streaming graph partitioning
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Former GraphX development repository. GraphX has been merged into Apache Spark; please submit pull requests there.
Source code from the CIKM 2019 article "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" by G. Salha, S. Limnios, R. Hennequin, V.A. Tran and M. Vazirgiannis
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.