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07/05/2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Currently, research on Reinforcement learning (RL) can be broadly classi...
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06/08/2023
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction
Directed evolution plays an indispensable role in protein engineering th...
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04/05/2023
Graph Representation Learning for Interactive Biomolecule Systems
Advances in deep learning models have revolutionized the study of biomol...
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02/28/2023
Framelet Message Passing
Graph neural networks (GNNs) have achieved champion in wide applications...
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06/15/2022
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images
Gigapixel medical images provide massive data, both morphological textur...
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12/12/2020
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Graph representation learning has many real-world applications, from sup...
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07/22/2020
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide
Graph Neural Networks (GNNs) have recently caught great attention and ac...
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01/17/2020
ADAMT: A Stochastic Optimization with Trend Correction Scheme
Adam-type optimizers, as a class of adaptive moment estimation methods w...
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02/11/2019
