MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization-Reference-Cited by-同舟云学术

MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization

Published:2024-03-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
language:
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Author:

Zou Dongcheng¹^ORCID,Wang Senzhang²^ORCID,Li Xuefeng¹^ORCID,Peng Hao¹^ORCID,Wang Yuandong³^ORCID,Liu Chunyang⁴^ORCID,Sheng Kehua⁴^ORCID,Zhang Bo⁴^ORCID

Affiliation:

1. Beihang University, Beijing, China

2. Central South University, Changsha, Hunan, China

3. Tsinghua University, Beijing, China

4. Didi Chuxing Technology Co., Ltd., Beijing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

National Key R&D Program of China

Beijing Natural Science Foundation

S&T Program of Hebei

CCF-DiDi GAIA Collaborative Research Funds for Young Scholars

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635820

Reference64 articles.

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2. Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting;Bai Lei;Advances in Neural Information Processing Systems,2020

3. Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, and Yaliang Li. 2020b. Simple and deep graph convolutional networks. In International conference on machine learning. PMLR, 1725--1735.

4. Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting

5. Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting

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