Multi-Relational Knowledge Graph Enhanced Embedding for Trajectory-User Linking

arXiv:2608.08646 · cs.LG, cs.CV · Submitted 2026-08-09 · Read on arXiv

Zhifeng Chu, Bin Wang

cs.LG, cs.CV

Submitted: 2026-08-09

Updated: 2026-08-11

Code: https://github.com/superior-DL/MakeTUL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Knowledge Graph — 57× in this paper · explained in 8 episodes
• Embeddings — 21× in this paper · explained in 2 episodes
• Trajectory-User Linking — 16× in this paper
• Hypergraph — 12× in this paper · explained in 2 episodes
• Representation Learning — 11× in this paper · explained in 3 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Distillation — 6× in this paper · explained in 2 episodes
• Augmentation — 4× in this paper · explained in 2 episodes
• Contrastive Learning — 3× in this paper · explained in 9 episodes
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Continuous Bag-of-Words — 2× in this paper
• Knowledge graphs — 2× in this paper · explained in 2 episodes
• Latent Variables — 2× in this paper · explained in 2 episodes
• Meta-learning — 2× in this paper · explained in 3 episodes
• Point of Interest — 2× in this paper
• Sparsity — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 3 episodes
• Compositionality — 1× in this paper · explained in 2 episodes
• Computational Efficiency — 1× in this paper · explained in 2 episodes
• Dynamic Time Warping (DTW) — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Gated Recurrent Unit — 1× in this paper
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• International Conference on Data Engineering — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 15 episodes
• Long Short-Term Memory — 1× in this paper
• Long Short-Term Memory (LSTM) — 1× in this paper · explained in 2 episodes
• Semantic Trajectories — 1× in this paper · explained in 2 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Variational Autoencoder (VAE) — 1× in this paper · explained in 6 episodes

Sources

• Mutual Distillation Learning Network for Trajectory-User Linking
• MobilityDL: A Review of Deep Learning From Trajectory Data

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks