A Mathematician with early access to XAI Grok 4.20, found a new Bellman function for one of the problems he had been working ...
Abstract: Graph Attention Networks (GAT) is a type of neural network architecture designed to effectively model and process data represented as graphs. GATs leverage the concept of attention ...
Abstract: Graph contrastive learning has gained significant attention for its effectiveness in leveraging unlabeled data and achieving superior performance. However, prevalent graph contrastive ...
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