Curated knowledge graph resources for systematic learning
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This repository is a curated collection of learning resources for knowledge graphs, targeting researchers, engineers, and students interested in the field. It provides a systematic learning path, covering theoretical foundations, datasets, tools, and practical applications, aiming to accelerate understanding and adoption of knowledge graph technologies.
How It Works
The repository organizes resources into logical categories such as theory, datasets, tools, and applications, following a top-down approach from general concepts to specific details. It highlights key papers, influential researchers, and practical tools, offering a structured overview of the knowledge graph landscape.
Quick Start & Requirements
This is a curated list of resources, not a software package. No installation or specific requirements are needed to browse the content.
Highlighted Details
Maintenance & Community
This is a community-driven resource list. While specific maintainers are not highlighted, the content reflects contributions and discussions from various academic and industry sources. Links to platforms like Zhihu and Jianshu suggest community engagement.
Licensing & Compatibility
The repository itself is a collection of links and information; it does not host software or data directly. The licensing of the linked resources varies, and users should consult the original sources for specific terms.
Limitations & Caveats
As a curated list, the content's recency depends on community updates. Some links or resources may become outdated over time. The depth of coverage for each topic can vary, and it serves as a starting point rather than an exhaustive guide.
4 years ago
Inactive