Pairwise Alignment Improves Graph Domain Adaptation

1 code implementation • 2 Mar 2024 • Shikun Liu, Deyu Zou, Han Zhao, Pan Li

Graph-based methods, pivotal for label inference over interconnected objects in many real-world applications, often encounter generalization challenges, if the graph used for model training differs significantly from the graph used for testing.

Domain Adaptation Node Classification

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts

1 code implementation • 12 Oct 2023 • Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

Geometric deep learning (GDL) has gained significant attention in various scientific fields, chiefly for its proficiency in modeling data with intricate geometric structures.