Fei Wu

TTGBench: Benchmarking Topological Evolution and Semantic Drift in Text-attributed Temporal Graphs

A comprehensive evaluation of 17 state-of-the-art methods across Temporal Graph Neural Networks (TGNNs) and Large Language Model (LLM)-based paradigms reveals a clear capability divide between the two paradigms: TGNN-based methods excel at structural prediction but fail at semantic tracking, whereas LLM-based predictor...