VLDB 2026 Research / reviewers in the wild / expert
Harry Proshian
dblp:432/7267
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0002-9435-6149ORCID · 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 |
Data mining · 100% | |
| Artificial intelligence
1 paper |
Graph learning · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data mining › sequence analysis
event sequence modeling |
1.0 | 1 | 2026 | Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models · WWW 2026 |
Data mining
pattern mining |
1.0 | 1 | 2026 | Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models · WWW 2026 |
Machine learning › Graph learning
network embedding |
0.3 | 1 | 2026 | Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models · WWW 2026 |
Methods — techniques the papers use, named apart from their topics
graph-based embeddings · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models
Harry Proshian, Nikita Severin, Sergey I. Nikolenko, Ivan Kireev, Andrey V. Savchenko, Ivan Sergeev, Maria Postnova, Ilya Makarov |
WWW | 1 |