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Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability

Summary: AnoT detects online anomalies in temporal knowledge graphs via a rule-graph summary, enabling interpretable inference. D-U-M pipeline supports offline summarization, online scoring, rule updates, and error estimation, yielding interpretable signals. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6994
Venue
SIGMOD
Year
2024
Pagerank
4.1945683e-05
Overall Rank
10,991 | 23.54%
DOI
10.1145/3698823

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