2 papers
cs.NE2025
Spiking Heterogeneous Graph Attention Networks
Buqing Cao, Qian Peng, Xiang Xie +3
Real-world graphs or networks are usually heterogeneous, involving multiple types of nodes and relationships. Heterogeneous graph neural networks (HGNNs) can effectively handle the…
cs.LG2025
Transformer-based Graph Neural Networks for Battery Range Prediction in AIoT Battery-Swap Services
Zhao Li, Yang Liu, Chuan Zhou +4
The concept of the sharing economy has gained broad recognition, and within this context, Sharing E-Bike Battery (SEB) have emerged as a focal point of societal interest. Despite t…