LightPath: Lightweight and Scalable Path Representation Learning-Reference-Cited by-同舟云学术

LightPath: Lightweight and Scalable Path Representation Learning

Published:2023-08-04 Issue: Volume: Page:
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Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yang Sean Bin¹^ORCID,Hu Jilin²^ORCID,Guo Chenjuan²^ORCID,Yang Bin²^ORCID,Jensen Christian S.¹^ORCID

Affiliation:

1. Aalborg University, Aalborg, Denmark

2. East China Normal University, Shanghai, China

Funder

This work was supported in part by Independent Research Fund Denmark under agreements 8022-00246B and 8048-00038B, the VILLUM FONDEN under agreements 34328 and 40567.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599415

Reference43 articles.

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3. David Campos , Miao Zhang , Bin Yang , Tung Kieu , Chenjuan Guo , and Christian S . Jensen . 2023 . LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. SIGMOD ( 2023). David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, and Christian S. Jensen. 2023. LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. SIGMOD (2023).

4. Robust Road Network Representation Learning

5. Zebin Chen Xiaolin Xiao Yue-Jiao Gong Jun Fang Nan Ma Hua Chai and Zhiguang Cao. 2022. Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. In KDD. 2771--2779. Zebin Chen Xiaolin Xiao Yue-Jiao Gong Jun Fang Nan Ma Hua Chai and Zhiguang Cao. 2022. Interpreting Trajectories from Multiple Views: A Hierarchical Self-Attention Network for Estimating the Time of Arrival. In KDD. 2771--2779.

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