LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs
Paper • 2603.14937 • Published
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Dataset Details
This dataset contains finetuning data constructed from the Cora citation network for downstream text-rich graph tasks. It is used for finetuning RAMP (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:
finetuned_cora_v1.json— Training setfinetuned_cora_val_v1.json— Validation seteval_cora_v1.json— Test set
This is a release from our paper LLM as Graph Kernel: Rethinking Message Passing on Text-Rich Graphs, so please cite it if using this dataset.
Citation
@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}
}
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