SOTAVerified

Property Prediction

Property prediction involves forecasting or estimating a molecule's inherent physical and chemical properties based on information derived from its structural characteristics. It facilitates high-throughput evaluation of an extensive array of molecular properties, enabling the virtual screening of compounds. Additionally, it provides the means to predict the unknown attributes of new molecules, thereby bolstering research efficiency and reducing development times.

Papers

Showing 8190 of 691 papers

TitleStatusHype
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property PredictionCode1
UniMAP: Universal SMILES-Graph Representation LearningCode1
LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text DescriptionsCode1
Lo-Hi: Practical ML Drug Discovery BenchmarkCode1
Fragment-based Pretraining and Finetuning on Molecular GraphsCode1
On the Stability of Expressive Positional Encodings for GraphsCode1
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-trainingCode1
ADMET property prediction through combinations of molecular fingerprintsCode1
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property PredictionCode1
Show:102550
← PrevPage 9 of 70Next →

No leaderboard results yet.