Efficient Top-k Frequent Subgraph Mining Using Tight Upper and Lower Bounds
Summary: Minting: a top-k frequent subgraph miner for single-graph MNI that uses a novel tight upper bound to drastically prune candidates, reducing the number of MNI evaluations. Also speeds each MNI via combined lower/upper bounds, yielding up to 1000× speedups and scaling to large k. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Seonho Lee
- 2. Yeunjun Lee
- 3. Kunsoo Park
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