This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

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Here, we showcase how our graph neural network (GNN)-based implicit solvent (GNNIS) approach can be used to rapidly compute small molecule conformational ensembles in 39 common organic solvents ...

A second module uses a graph neural network to encode the generated molecular structure back into tokens for the LLMs to consume. The final graph module is a graph reaction predictor which takes ...

Since Python has become the lingua franca of the programming world, there is not much room left for Ruby, he added. Overall, consolidation is happening in the programming language world ...

To address these challenges, we propose a physically constrained higher-order graph convolutional network (PCHGCN ... multiple matrix power operations of the higher-order graph module. To eliminate ...

CVE ID: CVE-2018-1000135 Severity: MEDIUM Score: 5.0 Description: GNOME NetworkManager version 1.10.2 and earlier contains a Information Exposure (CWE-200) vulnerability in DNS resolver that can ...

Therefore, to effectively utilize the information of the dynamic network and improve the prediction efficiency as well as the prediction accuracy, this paper proposes a spatio-temporal tensor graph ...