Displaying 1 to 6 from 6 results

GraphScope - GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba

  •    Rust

GraphScope is a unified distributed graph computing platform that provides a one-stop environment for performing diverse graph operations on a cluster of computers through a user-friendly Python interface. GraphScope makes multi-staged processing of large-scale graph data on compute clusters simple by combining several important pieces of Alibaba technology: including GRAPE, MaxGraph, and Graph-Learn (GL) for analytics, interactive, and graph neural networks (GNN) computation, respectively, and the vineyard store that offers efficient in-memory data transfers. Visit our website at graphscope.io to learn more.

STINGER - In-memory graph store and dynamic graph analysis platform

  •    C

STINGER is a package designed to support streaming graph analytics by using in-memory parallel computation to accelerate the computation. STINGER is composed of the core data structure and the STINGER server, algorithms, and an RPC server that can be used to run queries and serve visualizations.

gunrock - High-Performance Graph Primitives on GPUs

  •    Cuda

Gunrock is a CUDA library for graph-processing designed specifically for the GPU. It uses a high-level, bulk-synchronous, data-centric abstraction focused on operations on a vertex or edge frontier. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU computing primitives and optimization strategies with a high-level programming model that allows programmers to quickly develop new graph primitives with small code size and minimal GPU programming knowledge. For more details, please visit our website, read Why Gunrock, our TOPC 2017 paper Gunrock: GPU Graph Analytics, look at our results, and find more details in our publications. See Release Notes to keep up with the our latest changes.

LightGraphs.jl - An optimized graphs package for Julia

  •    Julia

Until an issue with one of our dependencies is resolved, LightGraphs will not work with any Julia 0.7 or 1.0 version that has been built from source on OSX or other systems with a compiler more modern than GCC7. If you use LightGraphs with Julia 0.7 or 1.0, please download a Julia binary. LightGraphs offers both (a) a set of simple, concrete graph implementations -- Graph (for undirected graphs) and DiGraph (for directed graphs), and (b) an API for the development of more sophisticated graph implementations under the AbstractGraph type.

pgx-samples - Applications using Parallel Graph AnalytiX (PGX) from Oracle Labs

  •    Scala

PGX can be downloaded from Oracle Technology Network (OTN): download link. PgxML and PGX Algorithm are available as of version 3.2.0 and released under the OTN license. Obtain the latest pgx-x.y.z-server zip file from the PGX download page and unzip it in the libs folder. The healthcare fraud detection example detects anomalies in medical transactions through a graph analysis procedure implemented in PGX. More details regarding this use-case are available here.