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Name: Kekun HU
Type: User
Name: Kekun HU
Type: User
Implementation of the HYPE hypergraph partitioner.
Automatically exported from code.google.com/p/i-mapreduce
incremental MapReduce for mining evolving big data
短视频内容理解与推荐竞赛
Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
IntelliJ IDEA 简体中文专题教程
📚 C/C++面试基础知识总结
《剑指Offer:名企面试官精讲典型编程题》源码修改版 https://leetcode.com/
Everything you need to know to get the job.
JanusGraph: an open-source, distributed graph database
:banana: 我的技术摘要
Design patterns implemented in Java
【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。
👨🎓 Java Core Sprout : basic, concurrent, algorithm
Jupyter metapackage for installation, docs and chat
KaHIP -- Karlsruhe HIGH Quality Partitioning.
KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.
Shared-Memory Parallel Graph Partitioning for Large K
Implementation of Kernighan-Lin graph partitioning algorithm in Python
The Kernighan–Lin algorithm is a heuristic algorithm for finding partitions of graphs. The algorithm has important applications in the layout of digital circuits and components in VLSI.
OpenStack Identity (Keystone)
A tensorflow implementation of Knowledge Graph Convolutional Networks
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
A random graph partitioning algorithm inspired from label propagation method
A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Semantic graph parser based on Categorial grammars
Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).
A big data benchmark for graph-processing platforms
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.