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Substructure-aware Log Anomaly Detection

Summary: SLAD: a code-file-level log-graph anomaly detector using Monte Carlo Tree Search to discover representative substructures, plus substructure distillation and soft pruning for efficient node-level anomaly scoring. Outperforms baselines and gives >15× faster inference. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13865
Venue
VLDB
Year
2025
Pagerank
4.2667743e-05
Overall Rank
9,872 | 31.33%
DOI
10.14778/3705829.3705840

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,218 Unseen Anomaly Detection from System Logs 2026 SIGMOD 4.1945683e-05
10,658 LLMLog: Advanced Log Template Generation via LLM-driven Multi-Round Annotation 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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