Demo Data from VLDB 2026 / reviewers in the wild / expert
Manesh Shah
dblp:33/8838
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1
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 | 7 |
| 2010 | Integrating experimental and computational approaches for the proteogenomic characterizations of microbial communitiesabstractBackground The human gastrointestinal tract is a complex ecosystem containing a delicate balance of human and microbial cells involved in an intricate symbiotic relationship. In general, the microbial constituency helps maintain a healthy environment and aids in the efficient digestion. However, environmental and/or genetic factors may result in an altered bacterial composition that manifests in a diseased condition, such as Crohn’ sd isease. The recent availability of genomic-based molecular technologies such as whole community genome sequencing and whole community proteomics have provided unique capabilities of profiling the compositions and activities of this microbiome without having to cultivate its membership. Robert L. Hettich, Alison L. Russell, Nathan Verberkmoes, Manesh Shah, Claire Fraser-Liggett, Janet K. Jansson |
BMC Bioinform. | 4 |