Graph Convolutional Neural Networks

Graph Neural Network Techniques for Semi-Supervised Learning

Graph neural networks (GNNs) are specialised deep learning architectures designed to operate on data represented as graphs, where entities are modelled as nodes and relationships as edges. In ...

ascopubs.org

Annotations-free survival prediction with WSIs using graph convolutional neural networks.

Treatment patterns of metastatic urothelial cancer in the United States. Prediction of immune checkpoint inhibitor (ICI) response in patients with urothelial cancer (UC) by a novel RNA-based ICI ...

AlphaGalileo

Breakthrough in Efficient GNN Training Architecture: Research Team Proposes Hardware ...

A Chinese research team has achieved a breakthrough in improving the training efficiency of Graph Neural Networks (GNNs). They introduced an ...

当前正在显示可能无法访问的结果。

隐藏无法访问的结果

Graph Neural Network Techniques for Semi-Supervised Learning

Annotations-free survival prediction with WSIs using graph convolutional neural networks.

Breakthrough in Efficient GNN Training Architecture: Research Team Proposes Hardware ...

今日热点