Heterogeneous Sheaf Neural Networks

ArXi:2409.08036v2 Announce Type: replace Heterogeneous graphs, whose nodes and edges may belong to different types and feature spaces, arise in a wide variety of real-world domains such as biology, chemistry and computer networks. Existing methods typically address this heterogeneity by modifying the model architecture itself, which often results in specialized and parameter-intensive designs.