Abstract: Graph neural networks (GNNs) have demonstrated outstanding performance in graph classification tasks. Most existing GNNs designed for graph classification adopt a structure that combines ...
Abstract: Graph data augmentation proves to be an effective approach for enhancing the performance of graph classification. However, due to the complex structure of graphs, the semantic meanings of ...
http://localhost:18080/manus/chat?query=帮我将李白的《将进酒》全文写入到F:%2FTest目录下的将进酒.txt文件中 进行测试时，example ...
Vancouver, British Columbia--(Newsfile Corp. - May 5, 2025) - Argo Living Soils Corp. (CSE: ARGO) (OTCQB: ARLSF) (FSE: 94Y0) ("Argo" or the "Company") is pleased to announce it has entered into a ...
ABSTRACT: Enhancing the value of indigenous food crops such as Egusi melon, which is considered a “lost crop” in many places around the globe, can significantly contribute to food security of millions ...
TITLE: Determination of Organic Matter and Trace Metals Elements (As, Sb, Cd, Hg, Ni, Pb, Cr, Zn) in the Soils of the Banks of Watercourses in Brazzaville City (Republic of Congo) ...
Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results