| Residential College | false |
| Status | 已發表Published |
| Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction | |
YICHENG ZHOU1,2; PENGFEI WANG3,4; HAO DONG3,4; DENGHUI ZHANG5; DINGQI YANG1,2 ; YANJIE FU6; WANG PENGYANG1,2
| |
| 2024-08 | |
| Conference Name | The 33rd International Joint Conference on Artificial Intelligence |
| Conference Date | 2024-08-03 |
| Conference Place | Jeju, South Korea |
| Document Type | Conference paper |
| Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
| Corresponding Author | WANG PENGYANG |
| Affiliation | 1.The State Key Laboratory of Internet of Things for Smart City, University of Macau 2.2Department of Computer and Information Science, University of Macau 3.Computer Network Information Center, Chinese Academy of Sciences 4.University of Chinese Academy of Sciences, Chinese Academy of Sciences 5.School of Business, Stevens Institute of Technology 6.School of Computing and AI, Arizona State University |
| First Author Affilication | University of Macau |
| Corresponding Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | YICHENG ZHOU,PENGFEI WANG,HAO DONG,et al. Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction[C], 2024. |
| APA | YICHENG ZHOU., PENGFEI WANG., HAO DONG., DENGHUI ZHANG., DINGQI YANG., YANJIE FU., & WANG PENGYANG (2024). Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffc Speed Prediction. . |
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