VLDB 2026 Research / reviewers in the wild / expert
Martha S. Head
dblp:32/1411
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 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.
| Artificial intelligence
1 paper |
Reinforcement learning · 77% Graph learning · 23% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning › exploration › intrinsic motivation
curiosity-driven exploration |
0.6 | 1 | 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery · ICLR 2022 |
Bioinformatics and computational biology › drug discovery
antiviral drug discovery |
0.6 | 1 | 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery · ICLR 2022 |
Methods — techniques the papers use, named apart from their topics
reinforcement learning · 1.1graph attention network · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery
Nicholas Choma, Andrew Deru Chen, Mikaela Cashman, Érica T. Prates, Verónica G. Vergara Larrea, Manesh Shah, Austin Clyde, Thomas S. Brettin, Bert de Jong, Martha S. Head, Rick L. Stevens, Peter Nugent, Daniel A. Jacobson, James B. Brown |
ICLR | 12 |