Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
Abstract: Graph Contrastive Learning (GCL) plays a crucial role in multimedia applications due to its effectiveness in analyzing graph-structured data. Existing GCL methods focus on maximizing the ...
ABSTRACT: A binary complete decision table with many-valued decisions is a table with n attributes and 2 n pairwise distinct rows filled with numbers from the set { 0,1 } . Each row of this table is ...
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