2025
MoHGNN: Enhanced Heterogeneous Graph Neural Network via Metapath Optimization
ICASSP 2025accepted
In this paper, we propose a novel heterogeneous graph neural networks (HGNNs) model that addresses two major limitations of existing metapath-based methods: (1) Defining suitable metapaths requires professional knowledge in the special domain. (2) The neighbor nodes of the target node also play cruc…