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hype

Implementation of the HYPE hypergraph partitioner.

i-mapreduce

Automatically exported from code.google.com/p/i-mapreduce

i2mapreduce

incremental MapReduce for mining evolving big data

icde22-pegasus

icme2019

短视频内容理解与推荐竞赛

igmc

Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

incubator-mxnet

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-tutorial

IntelliJ IDEA 简体中文专题教程

interview

📚 C/C++面试基础知识总结

interviewquestions

《剑指Offer:名企面试官精讲典型编程题》源码修改版 https://leetcode.com/

interviews

Everything you need to know to get the job.

janusgraph

JanusGraph: an open-source, distributed graph database

java-bible

:banana: 我的技术摘要

java-design-patterns

Design patterns implemented in Java

javaguide

【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。

jcsprout

👨‍🎓 Java Core Sprout : basic, concurrent, algorithm

jupyter

Jupyter metapackage for installation, docs and chat

kahip

KaHIP -- Karlsruhe HIGH Quality Partitioning.

kahypar

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.

kaminpar

Shared-Memory Parallel Graph Partitioning for Large K

kernighan-lin

Implementation of Kernighan-Lin graph partitioning algorithm in Python

kernighan-lin-scratch-code-for-graph-partitioning

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.

keystone

OpenStack Identity (Keystone)

kgcn

A tensorflow implementation of Knowledge Graph Convolutional Networks

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

label-graph-partitioning

A random graph partitioning algorithm inspired from label propagation method

labelpropagation

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

lambekseq

Semantic graph parser based on Categorial grammars

lcfn

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).

ldbc_graphalytics

A big data benchmark for graph-processing platforms