Ben Liao
Tencent (China)(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Machine Learning in Materials Science, Protein Structure and Dynamics, Recommender Systems and Techniques, Bioinformatics and Genomic Networks
Most-Cited Works
- → Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models(2021)594 cited
- → InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions(2021)236 cited
- → Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning(2020)108 cited
- → Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels(2019)96 cited
- → Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method(2021)68 cited
- → TocoDecoy: A New Approach to Design Unbiased Datasets for Training and Benchmarking Machine-Learning Scoring Functions(2022)31 cited
- → ChemistGA: A Chemical Synthesizable Accessible Molecular Generation Algorithm for Real-World Drug Discovery(2022)31 cited
- → Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning(2020)28 cited
- Locality and Modularity in Abstract Argumentation(2018)