A Robust Comparative Analysis of Graph Neural Networks on Dynamic Link Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3175981
Abstract: Graph neural networks (GNNs) are rapidly becoming the dominant way to learn on graphstructured data. Link prediction is a near-universal benchmark for new GNN models. Many advanced models such as Dynamic graph neural networks (DGNNs)… read more here.
Keywords: neural networks; link; graph neural; link prediction ... See more keywords
Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3212863
Abstract: In fighting the COVID-19 pandemic, the main challenges include the lack of prior research and the urgency to find effective solutions. It is essential to accurately and rapidly summarize the relevant research work and explore… read more here.
Keywords: discovery new; research; research approaches; link prediction ... See more keywords