A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery

no code implementations • 5 Nov 2023 • Dedong Li, Ziyue Li, Zhishuai Li, Lei Bai, Qingyuan Gong, Lijun Sun, Wolfgang Ketter, Rui Zhao

Then, we propose a Multi-view Graph and Complexity Aware Transformer (MGCAT) model to encode these semantics in trajectory pre-training from two aspects: 1) adaptively aggregate the multi-view graph features considering trajectory pattern, and 2) higher attention to critical nodes in a complex trajectory.

Jointly Contrastive Representation Learning on Road Network and Trajectory

1 code implementation • 14 Sep 2022 • Zhenyu Mao, Ziyue Li, Dedong Li, Lei Bai, Rui Zhao

Unlike the existing cross-scale contrastive learning methods on graphs that only contrast a graph and its belonging nodes, the contrast between road segment and trajectory is elaborately tailored via novel positive sampling and adaptive weighting strategies.

Contrastive Learning Representation Learning +1