Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning

Molecule representation learning is a primary area of focus in drug discovery and molecular property prediction. In previous studies, molecules have been modeled as graphs, enabling graph neural networks (GNNs) to capture essential structural information. Recent approaches have enhanced molecular re...

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Bibliographic Details
Main Authors: Bonyou Koo, Sunyoung Kwon
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10844080/
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