2025
LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification
ICML 2025poster
The use of large language models (LLMs) as feature enhancers to optimize node representations, which are then used as inputs for graph neural networks (GNNs), has shown significant potential in graph representation learning. However, the fundamental properties of this approach remain underexplored.…