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Keywords: Graph attention networks
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Journal Articles
BE-HGAT: a blockchain-enabled Web-based framework for trustworthy heterogeneous graph learning in prostate cancer driver gene prediction
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International Journal of Web Information Systems (2026) 22 (3): 394–422.
Published: 02 June 2026
... high-quality input for subsequent graph neural network (GNN) modeling. With the growing adoption of GNNs in computational biology, graph convolutional networks (GCNs) and graph attention networks (GATs) constructed on homogeneous graph structures have become common approaches for protein...
