Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Abstract: Most natural matrices that incorporate information about a graph are the adjacency and the Laplacian matrices. These algebraic representations govern the fundamental concepts and tools in ...
KuzuMemory provides fast, offline memory capabilities for chatbots and AI systems without requiring LLM calls. It uses pattern matching and local graph storage to remember and recall contextual ...
Abstract: In recent years, deep learning has revolutionized fields such as computer vision, speech recognition, and natural language processing, primarily through techniques applied to data in ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
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