Graph Neural Network Trial Dataset for Node Classification

Trial Full Gnn is a dataset for testing Graph Neural Network models, uploaded by user KalElofKrypton to the Hugging Face platform. The dataset was last updated on July 15, 2022. Its specific contents and structure are not described.

Use Cases

• Benchmarking GNN model performance on node classification tasks using graph structure and node features.
• Testing graph embedding algorithms that learn representations from the dataset's adjacency matrix.
• Evaluating link prediction models using the graph's edge list and potential node attributes.

Strengths

• Dataset is hosted on the Hugging Face platform, facilitating easy access for the ML community.
• Explicitly intended for GNN model testing, providing a focused use case.

Limitations

• No description, column names, sample data, or size information is available, making evaluation difficult.
• The dataset's age (last updated in 2022) may mean it does not reflect current GNN benchmarking standards.

Provenance

Source

Uploaded by user KalElofKrypton to Hugging Face.

Freshness

Last updated on 2022-07-15; no update frequency stated.