2 papers
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…
cs.LG2024
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao, Hong Huang, Hang Gao +3
Graph Neural Networks (GNNs) have been widely employed for feature representation learning in molecular graphs. Therefore, it is crucial to enhance the expressiveness of feature re…