2 papers
cs.LG2026
HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
Xinyi Li, Ming Li, Lu Bai +5
Many real-world heterogeneous graphs exhibit pronounced heterophily, where connected nodes often have dissimilar labels or play different semantic roles. In such settings, standard…
cs.LG2025
Out-of-Distribution Detection on Graphs: A Survey
Tingyi Cai, Yunliang Jiang, Yixin Liu +3
Graph machine learning has witnessed rapid growth, driving advancements across diverse domains. However, the in-distribution assumption, where training and testing data share the s…