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

Gabriel Lozano

dblp:221/5572 · DBLP profile ↗
← Back
1ranked-venue papers
0as 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 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
Query processing and optimization · 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 › graph neural network
graph transformer
0.912025
Graph Transformers for Query Plan Representation: Potentials and Challenges · Proc. VLDB Endow. 2025
Query processing and optimization › query planning
query plan representation
0.912025
Graph Transformers for Query Plan Representation: Potentials and Challenges · Proc. VLDB Endow. 2025
Query processing and optimization
query optimization
0.312025
Graph Transformers for Query Plan Representation: Potentials and Challenges · Proc. VLDB Endow. 2025

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

graph transformer · 1.7
YearPublicationVenuePosition
2025 Graph Transformers for Query Plan Representation: Potentials and Challenges
Chenghao Lyu, Guillaume Lachaud, Gabriel Lozano, Yanlei Diao
Proc. VLDB Endow.3