Deep learning on spatiotemporal graphs: A systematic review, methodological landscape, and research opportunities
Author:
Funder
Agence nationale de la recherche
Publisher
Elsevier BV
Reference86 articles.
1. A comprehensive survey of graph embedding: Problems, techniques, and applications;Cai;IEEE Trans. Knowl. Data Eng.,2018
2. Deep graph learning: Foundations, advances and applications;Rong,2020
3. Review of deep learning algorithms and architectures;Shrestha;IEEE Access,2019
4. Graph deep learning: State of the art and challenges;Georgousis;IEEE Access,2021
5. A comprehensive survey on graph neural networks;Wu;IEEE Trans. Neural Netw. Learn. Syst.,2021
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