Sherirto/MAGB
MAGB： A Comprehensive Benchmark for Multimodal Attributed Graphs In many real-world scenarios, graph nodes are associated with multimodal attributes, such as texts and images, resulting in Multimodal Attributed Graphs (MAGs). MAGB first provide 5 dataset from E-Commerce and Social Networks. And we evaluate two major paradigms: GNN-as Predictor and VLM-as-Predictor . The datasets are publicly available: 🤗 Hugging Face | 📑 Paper … See the full description on the dataset page: https://huggingface.co/datasets/Sherirto/MAGB.
| Author / organization | Sherirto |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 2 March 2024 |
| Last updated at source | 21 April 2025 |
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- 16 Oct 2026 Description: MAGB： A Comprehensive Benchmark for Multimodal Attributed Graphs In many real-world scenarios, graph nodes are associated with multimodal attributes, such as texts and images, resulting in Multimodal Attributed Graphs (MAGs). MAGB first pro → MAGB： A Comprehensive Benchmark for Multimodal Attributed Graphs In many real-world scenarios, graph nodes are associated with multimodal attributes, such as texts and images, resulting in Multimodal Attributed Graphs (MAGs). MAGB first pro
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