MNDGNN: Ablation Study Results on Multiplex Networks

Ablation experimental results for the MNDGNN model on multiplex networks using a 5-fold cross-validation test. The dataset is a 5.5 KB Excel file containing the results of an ablation study, authored by Pingting Li and last updated in May 2026. It is shared under a CC-BY-4.0 license on the figshare platform.

Use Cases

• Compare the performance impact of different MNDGNN components based on the ablation study results.
• Benchmark new graph neural network architectures against MNDGNN's reported performance on multiplex networks.
• Analyze the stability and variance of model performance using the 5-fold cross-validation results.
• Reproduce or verify the findings of the MNDGNN ablation study presented in the associated research.

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection.
• Results are from a structured 5-fold cross-validation test, providing a standard evaluation framework.
• Shared under a permissive CC-BY-4.0 license for open reuse.

Limitations

• Row count and specific column-level documentation are unknown, requiring manual inspection to understand the data structure.
• Description metadata is limited; actual data quality and completeness require verification after download.

Provenance

Source

figshare, authored by Pingting Li.

Collection Method

Likely contains the output of computational experiments evaluating the MNDGNN model.

Freshness

Last updated 2026-05-14 17:46:47; freshness should be verified.