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Strategies for Pre-training Graph Neural Networks

, , , , , , and . (2019)cite arxiv:1905.12265Comment: Accepted as a spotlight to ICLR 2020.

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History-Assisted Online User Allocation in Mobile Edge Computing., , , , , , and . ICWS, page 140-149. IEEE, (2022)Deep Learning in Latent Space for Video Prediction and Compression., , , and . CVPR, page 701-710. Computer Vision Foundation / IEEE, (2021)SD-INT: Towards Lightweight Network-Wide Passive INT in the Self-Driving Way., , , , , , , , , and . ICNP, page 1-12. IEEE, (2023)Open Graph Benchmark: Datasets for Machine Learning on Graphs., , , , , , , and . NeurIPS, (2020)Strategies for Pre-training Graph Neural Networks, , , , , , and . arXiv:1905.12265 cs, stat, (February 2020)arXiv: 1905.12265.Intelligent unsupervised learning method of physical education image resources based on genetic algorithm., , and . Neural Comput. Appl., 35 (6): 4225-4242 (February 2023)MSLR: A Self-supervised Representation Learning Method for Tabular Data Based on Multi-scale Ladder Reconstruction., , , , , , and . Inf. Sci., (March 2024)An Embedded Portable Lightweight Platform for Real-Time Early Smoke Detection., , , and . Sensors, 22 (12): 4655 (2022)Structure-preserving image completion with multi-level dynamic patches., , , , and . Vis. Comput., 35 (1): 85-98 (2019)A QoS-guaranteed online user data deployment method in edge cloud computing environment., , , , , and . J. Syst. Archit., (2021)