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.AR2025
TaiBai: A fully programmable brain-inspired processor with topology-aware efficiency
Qianpeng Li, Yu Song, Xin Liu +6
Brain-inspired computing has emerged as a promising paradigm to overcome the energy-efficiency limitations of conventional intelligent systems by emulating the brain's partitioned…