IEEE

MHGCN: A Multi-Channel Hybrid Graph Convolutional Neural Network for Cancer Drug Response Prediction

Abstract: Due to the heterogeneity of cancer cells, personalized treatment plans for cancer patients remain a continuous concern. High-throughput drug screening technology has led to the development ...
IEEE

CMHLFG: A Cross-layer Multihop Graph Convolution and High-Low-Frequency Graph Attention Fusion Network for Hyperspectral Image Classification

Abstract: Graph convolutional networks (GCNs) have emerged as a prominent research focus for hyperspectral image classification (HSIC). However, existing GCN-based HSIC methods still face the ...