2026
Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses
ICLR 2026poster
While Graph Neural Networks (GNNs) and Large Language Models (LLMs) are powerful approaches for learning on Text-Attributed Graphs (TAGs), a comprehensive understanding of their robustness remains elusive. Current evaluations are fragmented, failing to systematically investigate the distinct effect…