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Ziqi Gu

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2025

UniHG: A Large-scale Universal Heterogeneous Graph Dataset and Benchmark for Representation Learning and Cross-Domain Transferring

A large-scale, universal, and joint multi-domain heterogeneous graph dataset named UniHG to facilitate heterogeneous graph representation learning and cross-domain knowledge mining and comprehensive benchmark results demonstrate that the model significantly out-performs existing methods with an accuracy improvement of 28.93%.

Yide Qiu, Tong Zhang, Shaoxiang Ling et al. · 0 citations

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