Abstract: Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into low-dimensional node representations. While HGNNs extend the ...

This repo is the implementation of the dual graph transformer for molecular property prediction. This model integrates atom and bond graphs to encode the comprehensive molecular information, including ...

Abstract: The aeronautical spectrum band for air-to-ground (A/G) communications is severely underutilized at less than 12.5%, and yet anticipating scarcity in the near future because of the explosive ...