Graphs play a crucial role in the field of Artificial Intelligence (AI) by providing a powerful way to represent and analyze complex relationships between data points. In AI, graphs are used to model networks such as social connections, knowledge bases, and biological systems, enabling machines to understand and infer patterns more effectively.
Techniques like Graph Neural Networks (GNNs) leverage graph structures to improve tasks like recommendation systems, natural language processing, and computer vision. By capturing the interdependencies between entities, graphs help AI systems to make more accurate predictions and informed decisions, driving advancements across various applications.
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