Wilcoxon Signed-Rank Test Results for GNN Model Comparison

A 5.5 KB Excel file containing Wilcoxon signed-rank test results comparing a proposed Graph Neural Network model with baseline methods. The dataset was authored by Yifei Huang and last updated on April 29, 2026. The specific number of rows and columns is unknown.

Use Cases

• Assess the statistical significance of performance differences between a GNN and baseline models based on the test results.
• Validate the proposed GNN model's superiority over alternative methods based on the non-parametric test outcomes.
• Reproduce or extend the statistical analysis for model comparison studies based on the provided test data.

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset.
• Dataset has a clear, specific purpose: presenting Wilcoxon signed-rank test results.
• License is explicitly stated as CC-BY-4.0, allowing for open reuse with attribution.

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

Yifei Huang via figshare

Collection Method

Likely generated as part of a machine learning research project comparing model performance.

Freshness

Last updated 2026-04-29 17:39:51; freshness should be verified.