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06/08/2023
Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction
Protein-ligand binding affinity (PLBA) prediction is the fundamental tas...
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06/29/2022
Knowledge Distillation of Transformer-based Language Models Revisited
In the past few years, transformer-based pre-trained language models hav...
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01/15/2022
Deep Unified Representation for Heterogeneous Recommendation
Recommendation system has been a widely studied task both in academia an...
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12/02/2021
ProtGNN: Towards Self-Explaining Graph Neural Networks
Despite the recent progress in Graph Neural Networks (GNNs), it remains ...
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10/03/2021
Motif-based Graph Self-Supervised Learning forMolecular Property Prediction
Predicting molecular properties with data-driven methods has drawn much ...
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06/05/2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
As machine learning becomes more widely used for critical applications, ...
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07/07/2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction
Molecular property prediction (e.g., energy) is an essential problem in ...
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06/25/2019