A curated list of resources for knowledge graph technologies, this repository serves as a centralized hub for engineers, researchers, and power users. It provides categorized links to learning materials, databases, tools, frameworks, and datasets, streamlining the discovery and evaluation process within the knowledge graph ecosystem.

How It Works

This project functions as a meticulously organized directory, categorizing a wide array of knowledge graph-related technologies. Resources are grouped into logical sections such as graph databases (e.g., Neo4j, Dgraph, TigerGraph), triple stores, graph computing frameworks (e.g., Apache TinkerPop, Spark GraphX), visualization tools, and query languages (Cypher, Gremlin, SPARQL). This structured approach facilitates efficient navigation and selection of relevant tools and materials.

Quick Start & Requirements

This repository is a curated list and does not have a direct installation or execution command. The requirements and setup for individual tools listed within the repository vary significantly and are detailed in their respective project documentation. Links to official documentation for languages like Cypher and Gremlin are provided.

Highlighted Details

• Extensive coverage of graph databases, including popular choices like Neo4j, JanusGraph, TigerGraph, and emerging options like Kuzu and TuGraph.
• Detailed sections on graph computing frameworks (Apache TinkerPop, Spark GraphX), visualization tools (Gephi, Graphistry, AntV G6), and query languages (Cypher, Gremlin, SPARQL, GraphQL+-).
• A broad collection of knowledge graph datasets such as Wikidata, DBpedia, BabelNet, and The GDELT Project, alongside resources for knowledge engineering and fusion.
• Includes community-driven learning materials like books and conference information, fostering knowledge sharing.

Maintenance & Community

The repository explicitly welcomes contributions. It notes that some content was copied from other "awesome" lists (awesome-graph, awesome-knowledge-graph). Information on specific maintainers or active community channels (like Discord/Slack) is not detailed beyond the contribution welcome.

Licensing & Compatibility

The work is dedicated to the public domain ("To the extent possible under law, Sitao Z. has waived all copyright and related or neighboring rights to this work."). This implies no restrictions on use, modification, or distribution, making it highly compatible for any purpose, including commercial use.

Limitations & Caveats

As a curated list, the quality and up-to-dateness of individual resources depend on external projects and the curator's ongoing maintenance. Some listed projects may be retired (e.g., Apache Marmotta) or in beta (e.g., Tencent Knowledge Graph). The list is primarily text-based, requiring users to navigate to external links for detailed information or demos.