Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...
Abstract: At present, the course recommendation model of graph collaborative filtering mainly uses bipartite graph modeling to obtain user-course cooperative relationship. However, the bipartite graph ...
Abstract: Cross-modal hashing retrieval approaches have received extensive attention owing to their storage superiority and retrieval efficiency. To achieve better retrieval performances, hashing ...
The ordinary graphite in pencil lead is proving to be surprisingly multifaceted at the microscale. In a study published in ...
NGC2 enables soldiers and commanders to use a common platform for battle planning in multiple locations and with multiple ...
Anatomically accurate digital twin of 2-year-old's brain uncovers neural signatures linked to autism
For decades, researchers have been trying to understand the biological roots of autism spectrum disorder (ASD), a common neurodevelopmental condition that shapes how people communicate, learn and ...
Biomedical engineers at Duke University have developed a technique to noninvasively visualize the brain's waste-removal system in unprecedented detail. This new imaging approach allows researchers to ...
It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...
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It appears that the List of All Adversarial Example Papers has been experiencing crashes over the past few days. In the absence of this valuable resource, staying up-to-date with the latest research ...
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