It’s an interesting study, to be sure — if only the headlines actually described it. Turns out, only about 6 percent of the ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

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Face clustering is an effective method for taking advantage of unlabeled face data. Recent studies use graph convolutional networks (GCNs) to learn feature embeddings from the neighborhood information ...

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Graph convolutional neural networks (GCNs) have demonstrated effectiveness in processing graph structure. Due to the diversity and complexity of real-world graph data, heterogeneous GCN have attracted ...