Graph Neural Networks (GNNs) serve as a powerful framework for representation learning on graph-structured data, capturing the information of nodes by recursively aggregating and transforming the ...
Graphs naturally represent complex relationships in multimodal datasets including biological and biomedical datasets. For instance, multi-omics datasets can be represented as gene-gene similarity ...
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