There are 15 repositories under graph-analytics topic.
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Efficient Graph Algorithms for Neo4j
An optimized graphs package for the Julia programming language
An optimized graphs package for the Julia programming language
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
Arcade Analytics is the first Open Source Graph Analytics platform. Connect your Graph Database (Neo4j, OrientDB, Amazon Neptune, Microsoft CosmosDB, etc) and RDBMS (Oracle, MySQL, Postgres, Microsoft SQLServer, MariaDB) to create powerful dashboards.
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Papers on Graph Analytics, Mining, and Learning
Sparse, General Linear Algebra for Graphs!
Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.
Open Semantic Visual Linked Data Graph Explorer: Open Source tool (web app) and user interace (UI) for discovery, exploration and visualization of direct and indirect connections between named entities like persons, organizations, locations & concepts from thesarus or ontologies within your documents and knowledgegraph
Graph algorithms written in GraphBLAS
Exploring Neo4j and Graph Data Science for Fraud Detection
Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs
Transforming Graphs for Efficient Irregular Graph Processing on GPUs
Collaboration Spotting X - A network-based information retrieval and visual-analytics application
Graphs analytics on collections of views!
High-Performance Streaming Graph Analytics on GPUs
PyPi module for Graphlet AI Knowledge Graph Factory
Time series knowledge graphs for cybersecurity
Source code for the evaluated benchmarks and proposed cache management technique, GRASP, in [Faldu et al., HPCA'20].
Source code of "Accelerating Truss Decomposition on Heterogeneous Processors", accepted by VLDB'20 - By Yulin Che, Zhuohang Lai, Shixuan Sun, Yue Wang, and Prof. Qiong Luo
1) SimRank (single pair query, parallel all pair computation / dynamic updates) - by Yue Wang (https://github.com/KeithYue) and Yulin Che (https://github.com/CheYulin). 2) top-k version (https://github.com/CheYulin/SimRank/tree/develop) by Yue Wang and Zonghao Feng (https://github.com/unisolate)
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
Source code for the graph reordering technique, DBG, published in [Faldu et al., IISWC'19].