A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks

arXiv:2605.05476v1 Announce Type: cross Abstract: Knowledge graphs automatically constructed from text are increasingly used in real-world applications. However, their inherent noise, fragmentation, and semantic inconsistencies significantly affect the performance of Graph Neural Networks (GNNs) on...