For the last few years, chain-of-thought prompting has become the central method for reasoning in large language models. By encouraging models to “think aloud,” researchers found that step-by-step ...

从CoT到GoT的演进轨迹展现了AI推理范式的根本性变革：从单一路径的顺序推理转向多维度的并行思维模拟。这一进程标志着大语言模型研究重心从参数规模竞争转向认知机制建模。

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Abstract: Graph contrastive learning is usually performed by first conducting Graph Data Augmentation (GDA) and then employing a contrastive learning pipeline to train GNNs. As we know that GDA is an ...

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