2026
Global-Recent Semantic Reasoning on Dynamic Text-Attributed Graphs with Large Language Models
ICLR 2026poster
Dynamic Text-Attribute Graphs (DyTAGs), characterized by time-evolving graph interactions and associated text attributes, are prevalent in real-world applications. Existing methods, such as Graph Neural Networks (GNNs) and Large Language Models (LLMs), mostly focus on static TAGs. Extending these ex…