One of the most advanced solutions is dynamic graph representation learning, which embeds structural and temporal correlations into a representative vector for each node or subgraph. Existing models ...

Although federated graph learning offers a promising solution by enabling collaborative model training in distributed systems while preserving data privacy, a practical challenge arises as each client ...

ensuring they receive customized instruction suited to their learning pace and style. ITS platforms continuously analyze student interactions, providing real-time feedback and adaptive content to ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...

Does Unplugging Appliances Save Electricity? Yes—and See the 8 Biggest Energy Hogs China caves on 125% tariff for major US export after White House predicts Beijing can't keep up Ranking All-You ...

Among these methods, many rely on the assumption that the most likely graph is among those with the fewest recombination events. In this paper, we propose a new approach to build maximum parsimony ...