C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
GitHub

jesservillines/graph_neural_network

This repository implements a Graph Neural Network (GNN) to predict patient length of stay using PyTorch Geometric. The implementation features advanced feature selection, interactive visualizations, ...
IEEE

RandomViG: Random Vision Graph Neural Network for Image Classification

Abstract: Vision Graph Neural Network (ViG) is the first graph neural network model capable of directly processing image data. The community primarily focuses on the model structures to improve ViG's ...
IEEE

Line Graph Neural Network for Drug-Disease Association Prediction

Abstract: Drug-Disease Association (DDA) plays a crucial role in drug discovery by identifying the efficacy, mechanisms, or potential therapeutic effects of drugs for specific diseases. However, ...