In an advertising landscape shaped by increasing privacy regulation and rapidly changing consumer behavior, traditional identity-based targeting is no longer fit for purpose. Advertisers must rethink ...
Abstract: Existing methods based on graph convolutional network often struggle with large-scale graphs due to their high computing consumption and inefficiency. Although strategies such as edge ...
DSGAU: Dual-Scale Graph Attention U-Nets for Hyperspectral Image Classification With Limited Samples
Abstract: Graph convolutional networks (GCNs) exhibit remarkable capabilities in hyperspectral image (HSI) classification tasks, primarily due to their ability to establish long-range pixel ...
SRTK is a toolkit for semantic-relevant subgraph retrieval from large-scale knowledge graphs. It currently supports Wikidata, Freebase and DBpedia. A minimum walkthrough of the retrieve process: srtk ...
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