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Found 4 papers, 2 papers with code
Exploring Optimal Transport-Based Multi-Grained Alignments for Text-Molecule Retrieval
In this work, we introduce the Optimal TRansport-based Multi-grained Alignments model (ORMA), a novel approach that facilitates multi-grained alignments between textual descriptions and molecules.
Ranked #2 on
Cross-Modal Retrieval
on ChEBI-20
Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment
Cross-modal text-molecule retrieval model aims to learn a shared feature space of the text and molecule modalities for accurate similarity calculation, which facilitates the rapid screening of molecules with specific properties and activities in drug design.
Ranked #3 on
Cross-Modal Retrieval
on ChEBI-20
Graph Neural Networks for Double-Strand DNA Breaks Prediction
Double-strand DNA breaks (DSBs) are a form of DNA damage that can cause abnormal chromosomal rearrangements.
Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds
In this paper, we propose a novel domain-adversarial multi-task framework for integrating shared knowledge from multiple domains.
