Tong Zhang

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%.