Abstract: Social graphs are essential for various data analysis, yet their direct publication introduces significant privacy risks due to the sensitive nature of their information. To mitigate these ...
Abstract: Graph neural networks (GNNs) that collect information from neighbors are commonly utilized in semi-supervised learning contexts. In particular, a significant body of research has been ...
GraphAny is a fully-inductive model for node classification. A single trained GraphAny model performs node classification tasks on any graph with any feature and label spaces. Performance-wise, ...
The Black Hole (BH) strategy is a novel graph sparsification technique inspired by the gravitational pull of black holes, which condense matter into highly structured forms. BH retains the most ...
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