Enhancing Graph Neural Networks with Language Models for Link Prediction on Textual-Edge Graphs

LINK2DOC, a novel framework, leverages the strengths of both language models (LLMs) and graph neural networks (GNNs) to improve link prediction accuracy on textual-edge graphs by transforming local graph topology and semantic information into a structured document and using it to guide GNN training in a self-supervised manner.