Robust link prediction in heterogeneous graphs via diffusion-based generative fusion and relation-aware guidance
Link prediction in heterogeneous graphs, which captures both topological and semantic information in graph structures helps the discovery of meaningful relationships. However, several fundamental challenges of link prediction remain insufficiently addressed. First, real-world data are noisy, causing existing models to...