Latest Research in Machine Learning

8 research papers · 2026 median publication year

Top Research Topics in Machine Learning

Highest-Cited Papers

  1. Probabilistic multimodal learning for drug–target interaction prediction
  2. KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction
  3. Systematic Evaluation of Graph Neural Networks for Ligand-Based Virtual Screening on ChEMBL Datasets
  4. MG-CMIF: A Multi-Granularity Enhanced Cross-Modal Information Fusion Framework for Molecular Property Prediction
  5. ChalcoVina: Enhancing Molecular Docking Accuracy by Incorporating Chalcogen Bond-Aware Scoring
  6. Machine Learning‐Aided Small‐Molecule Virtual Screening: Recent Advances and Future Perspectives
  7. MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions
  8. MOSAIC: A Framework Integrating Molecular Structure and Chemical Knowledge Embeddings for Drug-Target Interaction Prediction
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L3 Region - - 2026 Sep Q3
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