Qitian Wu

A new method improves graph neural networks' performance on unseen data.

New techniques improve generalization in interconnected data models across various domains.

A new framework improves learning from structured, noisy data using diffusion principles.

SGFormer simplifies graph learning for efficiency and scalability.