3 papers
cs.LG2026
Enhanced Graph Neural Networks using K-Hop Gaussian Diffusion
Xuling Zhang, Peng Wang, Daiyan Li +3
Most graph neural network (GNN) cores rely on graph convolutions, typically implemented as message passing between direct (single-hop) neighbors. In many real-world graphs, edges c…
cs.LG2025
AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
Xuling Zhang, Jindong Li, Yifei Zhang +2
Continual graph learning (CGL) aims to enable graph neural networks to incrementally learn from a stream of graph structured data without forgetting previously acquired knowledge.…
cs.MM2024
SIDQL: An Efficient Keyframe Extraction and Motion Reconstruction Framework in Motion Capture
Xuling Zhang, Ziru Zhang, Yuyang Wang +2
Metaverse, which integrates the virtual and physical worlds, has emerged as an innovative paradigm for changing people's lifestyles. Motion capture has become a reliable approach t…