Inverse link prediction with graph convolutional networks for knowledge-preserving sparsification in cheminformatics
Abstract Large-scale cheminformatics datasets, such as those used in drug discovery and materials science, are often represented as dense similarity graphs; however, their complexity hinders scalable analysis and interpretability. We propose a novel Inverse Link Prediction (ILP) framework, powered b...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-07-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01220-8 |
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