Graph Foundational Models

New Graph Learning Frameworks Tackle LLM Noise and Heterogeneity

Researchers are developing new methods for graph learning that leverage or bypass large language models (LLMs). One approach, CANE, addresses the issue of noisy LLM-generated labels by estimating cluster-conditional rel…