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cs.LG2026
A Closer Look at the Application of Causal Inference in Graph Representation Learning
Hang Gao, Kunyu Li, Huang Hong +2
Modeling causal relationships in graph representation learning remains a fundamental challenge. Existing approaches often draw on theories and methods from causal inference to iden…
cs.LG2025
Heterogeneous Attributed Graph Learning via Neighborhood-Aware Star Kernels
Hong Huang, Chengyu Yao, Haiming Chen +1
Attributed graphs, typically characterized by irregular topologies and a mix of numerical and categorical attributes, are ubiquitous in diverse domains such as social networks, bio…