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Emerging with the support of computing and communications technologies, Metaverse is expected to bring users unprecedented service experiences.
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Z. Guo and H. Wang, “A deep graph neural network-based mechanism for social recommendations,” IEEE Trans Ind. Informat. , vol. 17, no. 4, pp. 2776–2783, Apr. 2020
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F. Tang, X. Chen, M. Zhao, and N. Kato, “The roadmap of communication and networking in 6G for the Metaverse,” IEEE Wireless Commun. , to appear, 2022
2022
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2022
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Y. Li, T. Yao, Y. Pan, and T. Mei, “Contextual transformer networks for visual recognition,” IEEE Trans. Pattern Anal. Mach. Intell. , to appear, 2022
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A.-F. Perrin, V. Krassanakis, L. Zhang, V. Ricordel, M. Perreira Da Silva, and O. Le Meur, “Eyetrackuav2: A large-scale binocular eye-tracking dataset for UAV videos,” Drones , vol. 4, no. 1, p. 2, Jan. 2020
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2022
Closest in time.