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10/08/2022
Hierarchical Graph Transformer with Adaptive Node Sampling
The Transformer architecture has achieved remarkable success in a number...
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09/16/2022
Model Inversion Attacks against Graph Neural Networks
Many data mining tasks rely on graphs to model relational structures amo...
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03/03/2022
A photonic chip-based machine learning approach for the prediction of molecular properties
Machine learning methods have revolutionized the discovery process of ne...
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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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06/22/2019