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References from Curvature-enhanced graph convolutional network for biomolecular interaction prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
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Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models
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Deepchemstable: chemical stability prediction with an attention-based graph convolution network
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PotentialNet for molecular property prediction
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Inductive representation learning on large graphs
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External reference
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External reference
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2019 · External reference
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2021 · External reference
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Unresolved reference
2022 · External reference
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Unresolved reference
2020 · External reference
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10.1145/3442381.3449786 · 2021 · External reference
A unified drug–target interaction prediction framework based on knowledge graph and recommendation system
2021 · External reference
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2020 · External reference
Interactiongraphnet: a novel and efficient deep graph representation learning framework for accurate protein–ligand interaction predictions
10.1021/acs.jmedchem.1c01830 · 2021 · External reference
Ricci curvature of metric spaces
10.1016/j.crma.2007.10.041 · 2007 · External reference
Ricci curvature for metric-measure spaces via optimal transport
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Bochner's method for cell complexes and combinatorial Ricci curvature
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2011 · External reference
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Unresolved reference
External reference
Compound–protein interaction prediction with end-to-end learning of neural networks for graphs and sequences
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2021 · External reference
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