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Jointly Contrastive Representation Learning on Road Network and
  Trajectory

Jointly Contrastive Representation Learning on Road Network and Trajectory

14 September 2022
Zhenyu Mao
Ziyue Li
Dedong Li
Lei Bai
Rui Zhao
    AI4TS
ArXivPDFHTML

Papers citing "Jointly Contrastive Representation Learning on Road Network and Trajectory"

5 / 5 papers shown
Title
Structure-preserving contrastive learning for spatial time series
Structure-preserving contrastive learning for spatial time series
Yiru Jiao
S. Cranenburgh
Simeon C. Calvert
H. Lint
AI4TS
84
0
0
10 Feb 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
Chengkai Han
Jingyuan Wang
Y. Wang
Xie Yu
Hao Lin
Chao Li
Junjie Wu
AI4TS
50
1
0
08 Feb 2025
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging
  the Gap through Self-Supervised Models
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Tangwen Qian
Junhe Li
Yile Chen
Gao Cong
Tao Sun
Fei Wang
Y. Xu
AI4TS
17
3
0
17 Oct 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy
Qianxiong Xu
Cheng Long
Ziyue Li
Sijie Ruan
Rui Zhao
Zhishuai Li
17
7
0
05 Nov 2023
1