"TreeXGNN: can gradient-boosted decision trees help boost heterogeneous ..."

Ming-Yi Hong et al. (2023)

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DOI: 10.1109/ICASSP49357.2023.10096251

access: closed

type: Conference or Workshop Paper

metadata version: 2024-08-26

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Ming-Yi Hong, Shih-Yen Chang, Hao-Wei Hsu, Yi-Hsiang Huang, Chih-Yu Wang, Che Lin:
TreeXGNN: can gradient-boosted decision trees help boost heterogeneous graph neural networks? ICASSP 2023: 1-5

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