CMKG: Knowledge Graph Embedding Model Performance Comparison

Zekun Zhou published a performance comparison of different knowledge graph embedding models on the CMKG dataset on figshare in May 2026. The dataset is a 5.5 KB Excel file containing evaluation results. It is shared under a CC-BY-4.0 license.

Use Cases

• Benchmarking new knowledge graph embedding models against established baselines based on the reported performance metrics.
• Selecting an appropriate embedding model for a specific application based on comparative results.
• Analyzing the relative strengths and weaknesses of different embedding model architectures.
• Reproducing or verifying published performance claims on the CMKG benchmark.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Explicitly licensed as CC-BY-4.0, allowing for broad reuse and sharing.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Zekun Zhou

Freshness

Last updated 2026-05-13 17:33:22; freshness should be verified.