3 papers
cs.LG2026
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li, Jianpeng Qi, Haobing Liu +6
Graph Neural Networks (GNNs) have demonstrated impressive performance across diverse graph-based tasks by leveraging message passing to capture complex node relationships. However,…
cs.LG2025
TrajDiff: Diffusion Bridge Network with Semantic Alignment for Trajectory Similarity Computation
Xiao Zhang, Xingyu Zhao, Hong Xia +4
With the proliferation of location-tracking technologies, massive volumes of trajectory data are continuously being collected. As a fundamental task in trajectory data mining, traj…
cs.AI2025
Structure-Aware Automatic Channel Pruning by Searching with Graph Embedding
Zifan Liu, Yuan Cao, Yanwei Yu +2
Channel pruning is a powerful technique to reduce the computational overhead of deep neural networks, enabling efficient deployment on resource-constrained devices. However, existi…