AIBullisharXiv – CS AI · 7h ago6/10
🧠
GILT: An LLM-Free, Tuning-Free Graph Foundational Model for In-Context Learning
Researchers introduce GILT, a Graph Foundational Model that enables in-context learning on graph neural networks without requiring large language models or per-task tuning. The approach achieves stronger few-shot performance than existing methods while reducing computational overhead, addressing a critical limitation in deploying GNNs to heterogeneous graph data.