Mm Graph: Multimodal Graph Benchmark Datasets

Multimodal Graph Benchmark datasets support the paper "Multimodal Graph Benchmark". The datasets are hosted by the organization mm-graph-org on Hugging Face. The repository was last updated on 2025-05-20.

Use Cases

• Benchmarking multimodal graph neural networks based on the benchmark datasets.
• Evaluating model performance on tasks involving graph-structured multimodal data.
• Developing new algorithms for multimodal graph learning based on the provided data.

Strengths

• Datasets are part of a published benchmark, suggesting a defined evaluation framework.
• Associated with a research paper, project page, and code repository, indicating academic rigor.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

mm-graph-org

Collection Method

Created for the "Multimodal Graph Benchmark" research paper.

Freshness

Last updated 2025-05-20 00:39:27; freshness should be verified.