Drug sensitivity prediction across cancer types using graph isomorphism networks and biological pathway features: A dual-branch deep learning approach. [PDF]
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iLDA-SGCN: Identifying Associations Between Age-Related Diseases and Long Non-Coding RNAs Using Dual Graph Convolutional Networks. [PDF]
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A Dual-Channel Architecture Based on GCN and HGCN for Dynamic Link Prediction. [PDF]
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Structure-based virulence factor classification using a dual-driven graph transformer with a pretrained language model. [PDF]
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Exploratory Identification of Gene Copy Number Cut-Off for NGS-Based <i>MET</i> Amplification Assessment and Clinical Relevance to MET Inhibitor Outcomes in Non-Small-Cell Lung Cancer. [PDF]
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RA-PLA: Retrieval-augmented graph convolutional networks for protein-ligand binding affinity prediction. [PDF]
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Causal inference-integrated temporal graph convolutional networks for dynamic prediction and optimization of enterprise total factor productivity. [PDF]
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AoSE-GCN: Attention-Aware Aggregation Operator for Spatial-Enhanced GCN
Graph Neural Networks (GNNs) have shown remarkable success in various graph-relevant applications, which can be generally classified into spatial-based and spectral-based methods.
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