MUV

Dataset Information
License
Unknown

Overview

The Maximum Unbiased Validation (MUV) dataset is a benchmark dataset selected from PubChem BioAssay. It was created by applying a refined nearest-neighbor analysis. The MUV dataset is specifically designed for the validation of virtual screening techniques.

Variants: MUV

Associated Benchmarks

This dataset is used in 3 benchmarks:

Recent Benchmark Submissions

Task Model Paper Date
Molecular Property Prediction S-CGIB Pre-training Graph Neural Networks on … 2025-02-20
Graph Classification G-Tuning Fine-tuning Graph Neural Networks by … 2023-12-21
Graph Classification GTOT-Tuning Fine-Tuning Graph Neural Networks via … 2022-03-20
Drug Discovery ContextPred Strategies for Pre-training Graph Neural … 2019-05-29
Drug Discovery RNN-DFS Relational Pooling for Graph Representations 2019-03-06
Drug Discovery GraphConv + dummy super node Learning Graph-Level Representation for Drug … 2017-09-12
Molecular Property Prediction IterRefLSTM Low Data Drug Discovery with … 2016-11-10
Drug Discovery GraphConv Convolutional Networks on Graphs for … 2015-09-30

Research Papers

Recent papers with results on this dataset: