Demo Data from VLDB 2026 / reviewers in the wild / expert
Seoyong Lee
dblp:426/1753
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Data mining · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › pattern mining
approximate pattern mining |
0.9 | 1 | 2025 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling · Proc. VLDB Endow. 2025 |
Data mining › pattern mining
graph pattern mining |
0.9 | 1 | 2025 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling · Proc. VLDB Endow. 2025 |
Data mining
sampling |
0.9 | 1 | 2025 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling · Proc. VLDB Endow. 2025 |
Methods — techniques the papers use, named apart from their topics
sampling · 0.9approximate graph pattern mining · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | AGIS: Fast Approximate Graph Pattern Mining with Structure-Informed Sampling
Seoyong Lee, Jinho Lee 0001 |
Proc. VLDB Endow. | 1 |