Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression-Reference-Cited by-同舟云学术

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 39th International Conference on Data Engineering (ICDE)
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Author:

Zhang Lei¹,Zhou Xin²,Zeng Zhiwei³,Cao Yiming¹,Xu Yonghui⁴,Wang Mingliang⁵,Wu Xingyu⁵,Liu Yong²,Cui Lizhen¹,Shen Zhiqi²

Affiliation:

1. Shandong University,School of Software,Jinan,China

2. Alibaba-NTU Singapore Joint Research Institute,Singapore

3. Nanyang Technological University,School of Computer Science and Engineering,Singapore

4. Shandong University,Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR),Jinan,China

5. Alibaba Group,China

Funder

Research and Development

Shandong University

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10184508/10184509/10184659.pdf?arnumber=10184659

Reference46 articles.

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2. DeepETA: A Spatial-Temporal Sequential Neural Network Model for Estimating Time of Arrival in Package Delivery System

3. Semi-supervised classification with graph convolutional networks;kipf;5th International Conference on Learning Representations ICLR 2017,2017

4. Data‐driven next destination prediction and ETA improvement for urban delivery fleets

5. Multi-task learning as multi-objective optimization;sener;Advances in Neural Information Processing Systems 31 Annual Conference on Neural Information Processing Systems 2018 NeurIPS 2018,2018

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