#artificial intelligence
Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
The HeTGB is introduced, a novel benchmark comprising five real-world heterophilic graph datasets from diverse domains, with nodes enriched by extensive textual descriptions that enables systematic evaluation of GNNs, pre-trained language models (PLMs) and co-training methods on the node classification task.
Shujie Li, Yuxia Wu, Chuan Shi et al.
· arXiv.org · 5 citations
· ⚡2