Shuhan Liu

Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs

2024 · arXiv (Cornell University)

Distribution shifts on graphs -- the data distribution discrepancies between training and testing a graph machine learning model, are often ubiquitous and unavoidable in real-world scenarios. Such shifts may severely deteriorate the performance of the …