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GraphScope
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GOpt: A Unified Graph Query Optimization Framework in GraphScope
GOpt: A Unified Graph Query Optimization Framework in GraphScope
In this blog, we introduce GOpt, which is a unified graph query optimization framework in GraphScope.
Lvbingqing
Feb 21
Import and Export Graph Data of Neo4j with GraphAr
Import and Export Graph Data of Neo4j with GraphAr
GraphAr is an open source, standard data file format for graph data storage and retrieval. It defines a standardized file format for graph…
weibinzen
Sep 13, 2023
GraphScope Release Notes: v0.24.0
GraphScope Release Notes: v0.24.0
We are pleased to introduce a range of enhancements to GraphScope with the GraphScope 0.24.0 release. This release includes a graph query…
Lei Wang
Sep 4, 2023
Getting Started with GraphAr: Standardized Graph Storage File Format
Getting Started with GraphAr: Standardized Graph Storage File Format
GraphAr is an open source, standard data file format for graph data storage and retrieval. It defines a standardized file format for graph…
Youli
Aug 30, 2023
GraphAr: A Standard Data File Format for Graph Data Storage and Retrieval
GraphAr: A Standard Data File Format for Graph Data Storage and Retrieval
In this post, we will introduce GraphAr, which is an open source, standard data file format for graph data storage and retrieval. It…
weibinzen
Aug 28, 2023
FLASH: A Programming Model for Distributed Graph Algorithms
FLASH: A Programming Model for Distributed Graph Algorithms
In this post, we will introduce FLASH, which is a distributed programming model for programming a broad spectrum of graph algorithms…
Youli
Aug 15, 2023
Processing 100-billion edges in one second: Empowering Graphalytics with GPU Acceleration
Processing 100-billion edges in one second: Empowering Graphalytics with GPU Acceleration
Graph algorithms serve as essential building blocks for a wide range of applications, such as social network analytics, routing…
Lei Wang
Aug 7, 2023
Dynamic Graph Sampling Service for Real-time GNN Inference at Scale
Dynamic Graph Sampling Service for Real-time GNN Inference at Scale
Graph neural networks (GNNs) learn graph vertex representations by aggregating multi-hop neighbor information. Industrial applications…
Li Su
Aug 5, 2023
Developing and Running Customized Analytical Algorithms for GraphScope
Developing and Running Customized Analytical Algorithms for GraphScope
We provide a template repository for graph analysis applications, where users can customize graph analysis algorithms by replacing several…
Dongze Li
Jul 22, 2023
GraphScope Achieved Record-breaking (2.45X) Results on LDBC SNB Interactive Workload
GraphScope Achieved Record-breaking (2.45X) Results on LDBC SNB Interactive Workload
Recently, LDBC (Linked Data Benchmark Council) announced the latest results of the LDBC Social Network Benchmark Interactive workload…
Jingbo Xu
Jul 19, 2023
Simplifying Complex Graph Loading with Jupyter Notebook
Simplifying Complex Graph Loading with Jupyter Notebook
Schema construction and graph data loading are usually the complicated steps in graph computing processes. Currently, GraphScope has…
Dongze Li
Jul 10, 2023
Release Notes: v0.23.0
Release Notes: v0.23.0
We are thrilled to introduce a range of enhancements to GraphScope, with the GraphScope 0.23.0 release. This release encompasses…
Lei Wang
Jul 6, 2023
Visualizing Insights from Large Graphs: A Comprehensive Guide to Using G6VP and GraphScope
Visualizing Insights from Large Graphs: A Comprehensive Guide to Using G6VP and GraphScope
This article is a reshaping of the origin post by Yanyan-Wang.
Lei Wang
Jul 4, 2023
GAIA-IR: Graph Interactive Query Engine in GraphScope
GAIA-IR: Graph Interactive Query Engine in GraphScope
In this blog, we will introduce GAIA-IR, an interactive graph query engine in GraphScope that efficiently supports graph queries.
Lvbingqing
Jun 27, 2023
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