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SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.

, , , , и . WWW, стр. 143-153. ACM, (2023)

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Shan-Shan Zhan

Jiening Shan

Yunsheng Shan

Jianfeng Shan

Yao Shan

 

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Truth Inference in Crowdsourcing: Is the Problem Solved?, , , , и . Proc. VLDB Endow., 10 (5): 541-552 (2017)T-Crowd: Effective Crowdsourcing for Tabular Data., , , , , и . CoRR, (2017)An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms., , , , , и . CoRR, (2019)Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads., , , и . Proc. ACM Manag. Data, 1 (3): 213:1-213:25 (сентября 2023)Reinforcement Learning Enhanced Explainer for Graph Neural Networks., , , , и . NeurIPS, стр. 22523-22533. (2021)Label Propagation for Graph Label Noise., , , , , и . CoRR, (2023)A Crowdsourcing Framework for Collecting Tabular Data., , , , , и . IEEE Trans. Knowl. Data Eng., 32 (11): 2060-2074 (2020)Towards Learning from Graphs with Heterophily: Progress and Future., , , , , и . CoRR, (2024)SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking., , , , и . WWW, стр. 143-153. ACM, (2023)Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling., , , , , , , и . AAAI, стр. 7530-7538. AAAI Press, (2023)