AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling
Summary: AGIS replaces uniform sampling with pattern-dependent, structure-informed neighbor sampling for fast approximate counting of arbitrary graph motifs. Its adaptive distribution selection delivers up to 28.5× average speedups and scales to tens of billions of edges. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Seoyong Lee (Seoul National University)
- 2. Jinho Lee (Seoul National University)
BibTeX Citation
@article{lee_vldb26,
title = {{AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling}},
author = {Lee, Seoyong and Lee, Jinho},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {2},
pages = {238--251},
doi = {10.14778/3773749.3773761},
url = {https://doi.org/10.14778/3773749.3773761},
year = {2026}
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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 |
|---|---|---|---|---|
| 235 | The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing | 2018 | VLDB | 0.00023701614 |
| 1,125 | Counting and Sampling Triangles from a Graph Stream | 2013 | VLDB | 0.00011894507 |
| 1,944 | A General Framework for Estimating Graphlet Statistics via Random Walk | 2017 | VLDB | 9.3078746e-05 |
| 2,478 | GPU-Accelerated Subgraph Enumeration on Partitioned Graphs | 2020 | SIGMOD | 8.3890338e-05 |
| 2,528 | Fractal: A General-Purpose Graph Pattern Mining System | 2019 | SIGMOD | 8.3237453e-05 |
| 4,593 | On Sampling from Massive Graph Streams | 2017 | VLDB | 6.5009613e-05 |
| 5,271 | Cardinality Estimation of Subgraph Matching: A Filtering-Sampling Approach | 2024 | VLDB | 6.1891764e-05 |
| 5,471 | Accurate and Fast Approximate Graph Pattern Mining at Scale | 2025 | VLDB | 6.1016355e-05 |
| 9,403 | RUSH: Real-time Burst Subgraph Detection in Dynamic Graphs | 2024 | VLDB | 5.1672232e-05 |
| 9,421 | Behavior Query Discovery in System-Generated Temporal Graphs | 2016 | VLDB | 5.1672232e-05 |
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