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Found 4 papers, 3 papers with code
Distributed Interaction Graph Construction for Dynamic DCOPs in Cooperative Multi-agent Systems
In open and dynamic environments, such methods need to address how this interaction graph is generated and maintained among agents.
Deep Inverse Reinforcement Learning for Structural Evolution of Small Molecules
The size and quality of chemical libraries to the drug discovery pipeline are crucial for developing new drugs or repurposing existing drugs.
Multi-View Self-Attention for Interpretable Drug-Target Interaction Prediction
In this study, we propose a self-attention-based multi-view representation learning approach for modeling drug-target interactions.
Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints
Computer-Aided Drug Discovery research has proven to be a promising direction in drug discovery.
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