Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...
[KDD 2024] In this repository, we present the code of Graph Data Condensation via Self-expressive Graph Structure Reconstruction (GCSR). python==3.7.13 torch==1.13.0 torchvision==0.14.0 ...
Converting images to PDF can be a simple task, provided you have the right tools and know-how. Whether you're looking to combine multiple photos into one document or just want to convert a single ...
Abstract: Ethical affective computing (AC) requires maximizing the benefits to users while minimizing its harm to obtain trust from users. This requires responsible development and deployment to ...
Abstract: Edge perturbation is a basic method to modify graph structures. It can be categorized into two veins based on their effects on the performance of graph neural networks (GNNs), i.e., graph ...
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