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Found 2 papers, 1 papers with code
On the Scalability of GNNs for Molecular Graphs
However, structure-based architectures such as Graph Neural Networks (GNNs) are yet to show the benefits of scale mainly due to the lower efficiency of sparse operations, large data requirements, and lack of clarity about the effectiveness of various architectures.
Splicing Up Your Predictions with RNA Contrastive Learning
In the face of rapidly accumulating genomic data, our understanding of the RNA regulatory code remains incomplete.
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