| The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa, BART, and LLaMA | May 2, 2024 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery | Mar 26, 2018 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model | Apr 23, 2024 | Drug DiscoveryIn-Context Learning | CodeCode Available | 0 |
| MUBen: Benchmarking the Uncertainty of Molecular Representation Models | Jun 14, 2023 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| ReactEmbed: A Cross-Domain Framework for Protein-Molecule Representation Learning via Biochemical Reaction Networks | Jan 30, 2025 | Contrastive LearningDrug Discovery | CodeCode Available | 0 |
| Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction | Mar 20, 2025 | Drug Discovery | CodeCode Available | 0 |
| An open unified deep graph learning framework for discovering drug leads | Dec 6, 2022 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representatio | Oct 15, 2023 | Drug DiscoveryMeta-Learning | CodeCode Available | 0 |
| A generalized method toward drug-target interaction prediction via low-rank matrix projection | Jun 6, 2017 | BIG-bench Machine LearningDrug Discovery | CodeCode Available | 0 |
| Multi-Fidelity Cost-Aware Bayesian Optimization | Nov 4, 2022 | Bayesian OptimizationDrug Discovery | CodeCode Available | 0 |
| AGATHA: Automatic Graph-mining And Transformer based Hypothesis generation Approach | Feb 13, 2020 | Drug DiscoveryGraph Mining | CodeCode Available | 0 |
| Recursive Tree Grammar Autoencoders | Dec 3, 2020 | DecoderDrug Discovery | CodeCode Available | 0 |
| Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction | Dec 15, 2020 | Bayesian InferenceDeep Learning | CodeCode Available | 0 |
| Unveiling Molecular Secrets: An LLM-Augmented Linear Model for Explainable and Calibratable Molecular Property Prediction | Oct 11, 2024 | CPUDimensionality Reduction | CodeCode Available | 0 |
| FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning | Oct 19, 2024 | BenchmarkingDrug Discovery | CodeCode Available | 0 |
| Top-N: Equivariant set and graph generation without exchangeability | Oct 5, 2021 | Drug DiscoveryGenerative Adversarial Network | CodeCode Available | 0 |
| FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial Attacks | Jan 19, 2024 | Decision MakingDrug Discovery | CodeCode Available | 0 |
| Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing | Jul 20, 2020 | Drug DiscoveryFew-Shot Learning | CodeCode Available | 0 |
| BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation | Nov 25, 2022 | Drug DiscoveryMolecular Property Prediction | CodeCode Available | 0 |
| Study of Deep Generative Models for Inorganic Chemical Compositions | Oct 25, 2019 | Drug DiscoveryImage Generation | CodeCode Available | 0 |
| Few-shot Conformal Prediction with Auxiliary Tasks | Feb 17, 2021 | Computational chemistryConformal Prediction | CodeCode Available | 0 |
| DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction | Dec 1, 2019 | Drug DesignDrug Discovery | CodeCode Available | 0 |
| Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing | Dec 3, 2023 | Drug DiscoveryTopological Data Analysis | CodeCode Available | 0 |
| Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources | Nov 23, 2024 | Data IntegrationDrug Discovery | CodeCode Available | 0 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 |