Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Kyung-Hwan Lee

dblp:137/9783 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0005-2593-834XORCID · reported

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 2021Applied, interdisciplinary, general and emerging computing · 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
Knowledge graphs · 100%
Artificial intelligence
1 paper
Graph learning · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Graph learning
structure-aware representation learning
1.012026
STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding · WWW 2026
Knowledge graphs › knowledge graph embedding
continual knowledge graph embedding
1.012026
STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding · WWW 2026
Knowledge graphs
knowledge graph embedding
1.012026
STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding · WWW 2026

Methods — techniques the papers use, named apart from their topics

knowledge graph embedding · 2.0continual learning · 2.0
YearPublicationVenuePosition
2026 STARK: Structure-Aware and Adaptive Representation Learning for Continual Knowledge Graph Embedding
Kyung-Hwan Lee, Dong-Wan Choi
WWW1