Like many of us, [Tim]’s seen online videos of circuit sculptures containing illuminated LED filaments. Unlike most of us, however, he went a step further by using graph theory to design glowing ...
Abstract: Vertex-frequency analysis (VFA) is a useful technique in graph signal processing to extract the correspondence between frequencies and vertices. VFA can be calculated by the windowed graph ...
Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...
This is our PyTorch implementation of EPAGCL: Yanchen Xu +, Siqi Huang +, Hongyuan Zhang *, and Xuelong Li *, "Why Does Dropping Edges Usually Outperform Adding Edges in Graph Contrastive Learning?", ...
// A template rule or a template rule argument expression. message TemplateExpression { // A template parameter name or a literal value. optional string param = 1; // A template rule operation or a ...
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