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)
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Authors
- 1. Jiasheng Zhang
- 2. Rex Ying
- 3. Jie Shao
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,178 | Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs | 2014 | VLDB | 9.3645765e-05 |
| 3,234 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD | 7.3302974e-05 |
| 4,713 | Mining Graph Patterns Efficiently via Randomized Summaries | 2009 | VLDB | 5.9694403e-05 |
| 5,375 | Question Answering Over Knowledge Graphs: Question Understanding Via Template Decomposition | 2018 | VLDB | 5.5407861e-05 |
| 5,701 | Localizing Anomalous Changes in Time-evolving Graphs | 2014 | SIGMOD | 5.36437e-05 |
| 6,208 | Summarizing Answer Graphs Induced by Keyword Queries | 2013 | VLDB | 5.1511024e-05 |
| 6,690 | Efficient Knowledge Graph Accuracy Evaluation | 2019 | VLDB | 4.9575975e-05 |
| 7,352 | Kelpie: an Explainability Framework for Embedding-based Link Prediction Models | 2022 | VLDB | 4.7484027e-05 |
| 7,399 | Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graph | 2023 | VLDB | 4.7357968e-05 |
| 8,135 | Towards Event Prediction in Temporal Graphs | 2022 | VLDB | 4.5740737e-05 |
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