Nature

GNNs surpass transformers in tumor medical image segmentation

To assess the suitability of Transformer-based architectures for medical image segmentation and investigate the potential advantages of Graph Neural Networks (GNNs) in this domain. We analyze the ...
Nature

Graph neural network-based drug-drug interaction prediction

When multiple drugs are taken simultaneously, the activity and effectiveness of one drug can be affected by another substance, usually another drug. Drug interactions are categorized into synergism ...
Semiconductor Engineering

An FPGA-based Accelerator Addressing Bottlenecks in GNN Preprocessing (KAIST et al.)

A new technical paper “AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, ...
Phys.org

Novel graph neural network models enhance precipitation forecasting

In the AI era, pure data-driven meteorological and climate models are gradually catching up with and even surpassing traditional numerical models. However, significant challenges persist in current ...