MNDGNN: Predictive Performance on Multiplex Networks

A dataset comparing the predictive performance of the MNDGNN model against other baseline models on multiplex networks. The dataset is 5.5 KB in size and was authored by Pingting Li. It was last updated on May 14, 2026.

Use Cases

• Benchmarking graph neural network models based on performance metrics on multiplex networks.
• Comparing the MNDGNN architecture against other baseline models.
• Validating model performance for tasks on multiplex network structures.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• Data is shared under a permissive CC-BY-4.0 license, allowing for reuse and modification.

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

figshare

Freshness

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