VLDB 2026 Research / reviewers in the wild / expert
Shikha Mallick
dblp:345/8134
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0002-0581-9918ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Artificial intelligence
1 paper |
Generative modeling · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Generative modeling
molecular generation |
0.7 | 1 | 2023 | CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks · RECOMB 2023 |
Bioinformatics and computational biology › drug discovery › drug design
de novo drug design |
0.7 | 1 | 2023 | CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks · RECOMB 2023 |
Bioinformatics and computational biology
drug discovery |
0.7 | 1 | 2023 | CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks · RECOMB 2023 |
Methods — techniques the papers use, named apart from their topics
graph convolutional network · 1.3conditional generative modeling · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | CDGCN: Conditional de novo Drug Generative Model Using Graph Convolution Networks
Shikha Mallick, Sahely Bhadra |
RECOMB | 1 |