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Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation

Summary: Introduces MPIN, a message-propagation imputation network that recovers multi-attribute missing values in sliding windows under weak stream assumptions, with theoretical justification. Embeds MPIN in a continuous (data- and model-update) framework for efficient, accurate online imputation, outperforming prior methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13555
Venue
VLDB
Year
2024
Pagerank
4.7397846e-05
Overall Rank
7,400 | 48.53%
DOI
10.14778/3632093.3632100

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