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Found 3 papers, 2 papers with code
Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning
Trajectory modeling refers to characterizing human movement behavior, serving as a pivotal step in understanding mobility patterns.
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj).
Co-Driven Recognition of Semantic Consistency via the Fusion of Transformer and HowNet Sememes Knowledge
Multi-level encoding of internal sentence structures via data-driven is carried out firstly by Transformer, sememes knowledge base HowNet is introduced for knowledge-driven to model the semantic knowledge association among sentence pairs.
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