Robust Road Network Representation Learning-Reference-Cited by-同舟云学术

Robust Road Network Representation Learning

Published:2021-10-26 Issue: Volume: Page:
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Container-title:Proceedings of the 30th ACM International Conference on Information & Knowledge Management
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Author:

Chen Yile¹,Li Xiucheng¹,Cong Gao¹,Bao Zhifeng²,Long Cheng¹,Liu Yiding³,Chandran Arun Kumar⁴,Ellison Richard⁵

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. RMIT University, Melbourne, Australia

3. Baidu Inc., Beijing, China

4. NCS Pte. Ltd., Singapore, Singapore

5. DataSpark, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3459637.3482293

Reference47 articles.

1. COMPUTING THE FRÉCHET DISTANCE BETWEEN TWO POLYGONAL CURVES

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In ICLR. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate. In ICLR.

3. Lei Chen M. Tamer Özsu and Vincent Oria. 2005. Robust and Fast Similarity Search for Moving Object Trajectories. In SIGMOD. 491--502. Lei Chen M. Tamer Özsu and Vincent Oria. 2005. Robust and Fast Similarity Search for Moving Object Trajectories. In SIGMOD. 491--502.

4. Dingxiong Deng Cyrus Shahabi Ugur Demiryurek Linhong Zhu Rose Yu and Yan Liu. 2016. Latent Space Model for Road Networks to Predict Time-Varying Traffic. In KDD. 1525--1534. Dingxiong Deng Cyrus Shahabi Ugur Demiryurek Linhong Zhu Rose Yu and Yan Liu. 2016. Latent Space Model for Road Networks to Predict Time-Varying Traffic. In KDD. 1525--1534.

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