DBpedia Knowledge Graph Network
A DBpedia (structured Wikipedia knowledge base) dataset of 18,268,991 nodes and 136,537,566 edges, collected by DBpedia community via Wikipedia extraction. Each record contains directed: True, weighted: True. Large-scale RDF knowledge graph extracted from Wikipedia — multiple relation types (starring, genre, occupation, team, etc.) across millions of entities.. Suitable for knowledge graph completion, entity linking, semantic web research.
Cite this dataset at
dbpedia.echo.directory
Analytics
The full graph has 18,268,991 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
dbpedia- Authors
- Auer, Sören; Bizer, Christian; Kobilarov, Georgi; Lehmann, Jens; Cyganiak, Richard; Ives, Zachary
- Year
- 2007
- Source paper
- DBpedia: A Nucleus for a Web of Open Data
- DOI / arXiv
- 10.1007/978-3-540-76298-0_52
- License
- CC BY-SA 2.0 Germany (as stated by KONECT) (LicenseRef-CC-BY-SA-2.0-DE)
- Records
- 172,183,984
- Nodes
- 18,268,991
- Edges
- 136,537,566
- Nodes are
- entity
- Edges are
- knowledge relation
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2013 (2010s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://konect.cc/networks/dbpedia-all/ unverified
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 695.3 MB across 11 files. Checksums in MANIFEST.json.
Citations
DBpedia: A Nucleus for a Web of Open Data
S. Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak
Journal Article · ISWC/ASWC · 2007
Cited by
- Graph Retrieval-Augmented Generation: A Survey
Boci Peng, Yun Zhu et al. · ACM Trans. Inf. Syst. · 2024 · cited 661× - Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs
Li-Yi Chen, Pan-Rong Tong et al. · Neural Information Processing Systems · 2024 · cited 167× - A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qing-Gang Zhang, Shengyuan Chen et al. · arXiv.org · 2025 · cited 161× - Knowledge Graph-Guided Retrieval Augmented Generation
Xiangrong Zhu, Yue-Xiang Xie et al. · North American Chapter of the Association for Computational Linguistics · 2025 · cited 156× - A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges
Nourhan Ibrahim, Samar AboulEla et al. · Discover Artificial Intelligence · 2024 · cited 149×
Show all 10
- Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
Jiayi Kuang, Ying Shen et al. · ACM Computing Surveys · 2024 · cited 139× - Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges
Ping Zhang, Wen-Jun Xu et al. · IEEE Communications Surveys and Tutorials · 2025 · cited 134× - Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
Ernests Lavrinovics, Russa Biswas et al. · Journal of Web Semantics · 2024 · cited 125× - Multimodal Reasoning with Multimodal Knowledge Graph
Junlin Lee, Yequan Wang et al. · Annual Meeting of the Association for Computational Linguistics · 2024 · cited 104× - Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis
Lukas Bahr, C. Wehner et al. · Journal of Industrial Information Integration · 2024 · cited 91×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@inbook{Auer_2007,
title = {DBpedia: A Nucleus for a Web of Open Data},
isbn = {9783540762980},
issn = {1611-3349},
url = {http://dx.doi.org/10.1007/978-3-540-76298-0_52},
doi = {10.1007/978-3-540-76298-0_52},
booktitle = {The Semantic Web},
publisher = {Springer Berlin Heidelberg},
author = {Auer, Sören and Bizer, Christian and Kobilarov, Georgi and Lehmann, Jens and Cyganiak, Richard and Ives, Zachary},
year = {2007},
pages = {722–735}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z. (2007). DBpedia Knowledge Graph Network [Data set]. https://doi.org/10.1007/978-3-540-76298-0_52
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Auer, Sören, et al. DBpedia Knowledge Graph Network. 2007, doi.org/10.1007/978-3-540-76298-0_52.