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JJYDXFS/RAMP_pretrained_data

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Hugging Face2026-03-26 更新2026-03-29 收录
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--- license: apache-2.0 --- # Dataset Details This dataset contains pretrained data constructed from academic text-rich graphs ([MAPLE](https://github.com/yuzhimanhua/MAPLE)) spanning three disciplines: Economics, Mathematics, and Geology. It is used for pretraining [RAMP](https://arxiv.org/abs/2603.14937) (Raw-text Anchored Message Passing), which recasts the LLM as a graph-native aggregation operator on text-rich graphs. The dataset includes the following files: - `pretrained_Economics.json` - `pretrained_Mathematics.json` - `pretrained_Geology.json` This is a release from our paper [LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs](https://arxiv.org/abs/2603.14937), so please cite it if using this dataset. # Citation ```bibtex @article{zhang2026llm, title={LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs}, author={Zhang, Ying and Yu, Hang and Zhang, Haipeng and Di, Peng}, journal={arXiv preprint arXiv:2603.14937}, year={2026} } ``` [![Paper](https://img.shields.io/badge/arXiv-2603.14937-b31b1b.svg)](https://arxiv.org/abs/2603.14937)
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