Graph Neural Network Test Data from Hugging Face

A dataset for testing Graph Neural Network models, uploaded by user KalElofKrypton to the Hugging Face platform. The dataset was last updated in July 2022. Specific details on the graph structure, node features, and edge types are not provided.

Use Cases

• Benchmarking GNN model performance on node classification tasks using provided node features and labels.
• Testing link prediction algorithms on the graph's edge structure and adjacency matrix.
• Evaluating graph-level property prediction models using aggregated graph features.

Strengths

• Dataset is hosted on the Hugging Face platform, facilitating easy access and integration with common ML tools.
• Explicitly intended for GNN testing, providing a relevant use case.

Limitations

• No information is available on the number of nodes, edges, or graph samples, making scale assessment impossible.
• The absence of column names, feature descriptions, or sample data prevents understanding of the data schema.

Provenance

Source

Hugging Face user KalElofKrypton.

Freshness

Last updated in July 2022.