Statistics of the Datasets for Evolving Graph Attention Networks

Yucai Jiang published a dataset on figshare in 2026. The dataset contains statistics for benchmark datasets used to evaluate the EGAT model for dynamic graph representation learning. The file is 5.5 KB in size and is available in XLS format.

Use Cases

• Benchmarking dynamic graph neural network performance based on the described benchmark datasets.
• Analyzing the properties of evolving graph datasets used in the EGAT paper.
• Comparing model results across different temporal graph datasets mentioned in the research.

Strengths

• Dataset is small (5.5 KB), enabling quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse.

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

Yucai Jiang

Freshness

Last updated 2026-06-01 17:40:54; freshness should be verified.