Database Paper Browser

Back to papers

Behavior Query Discovery in System-Generated Temporal Graphs

Summary: Introduces TGMiner, a discriminative temporal-graph pattern miner that converts system logs into reusable query templates over heterogeneous, time-stamped interactions. Leveraging temporal growth-trend pruning, it prunes redundant patterns, delivering 6–32× speedups with expert-validated patterns at 97% precision and 91% recall. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11317
Venue
VLDB
Year
2016
Pagerank
4.4039656e-05
Overall Rank
9,057 | 37.00%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,276 AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling 2026 VLDB 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers