Abstract: Vision GNNs (ViGs) divide an image into multiple patches, treating these image patches as graph nodes. The image is represented by extracting explicit features from these patches as node ...
This project implements a drug-disease association prediction model using Graph Convolutional Networks (GCN) with advanced data augmentation techniques. The model predicts novel drug-disease ...
A new technical paper titled “TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs” was published by researchers at University of Connecticut and University of Minnesota. “hip ...
Abstract: To address the challenges posed by the deployment of microservices of future end-user applications in the cloud continuum, a performance prediction model working together with a network ...
Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...
git clone https://github.com/IllinoisGraphBenchmark/IGB-Datasets.git cd IGB-Datasets pip install .
Sanford School professor David Hoffman and Fuqua professor Ronnie Chatterji will lead the initiative called Deep Tech at Duke Read more about Duke’s efforts to promote responsible use of artificial ...
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