Confidential — Stefan Michaelcheck Only

A Simplex Approach to Synthetic Knowledge Graph Generation

2026resource_releasenoveldataset

Ana Alexandra Morim da Silva, Axel-Cyrille Ngonga Ngomo, Michael Röder, Atul Bhopalsing Pundir

Zenodo (CERN European Organization for Nuclear Research)

https://doi.org/10.5281/zenodo.18302827OpenAlex: W7124742809
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URLs Found
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Internal Citations
4
Authors
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Abstract Quality
GPT-5.5 Abstract Analysis

Problems Identified (2)

Synthetic KG Generation: The work concerns the task of generating synthetic knowledge graphs.

Synthetic KG Generation: The work concerns the task of generating synthetic knowledge graphs.

Proposed Solutions (2)

SimplexKG Generators: The work introduces SimplexKG generators for synthetic knowledge graph generation using a simplex approach.

SimplexKG Generators: The work introduces SimplexKG generators for synthetic knowledge graph generation using a simplex approach.

Results (2)

Generator Repository:

Generator Repository:

Research Domain

knowledge graph generation

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