Branching out The new model addresses higher order junctions like those shown in this artist’s impression of a biological neural network. (Courtesy: iStock/Ktsimage) Many biological networks – ...
Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...
Abstract: Graph model generation from natural language requirements is an essential task in software engineering, for which large language models (LLMs) have become increasingly popular. A key ...
London bakery The Dusty Knuckle cleverly used a loaf of bread as a graph to illustrate the costs of running their business: This comes off the back of a big decision to increase our bakers’ pay ahead ...
A comprehensive framework for defining agent behavioral contracts (Abstract Agent Types) and managing their runtime interactions through Context Graphs, with full support for decentralized identity, ...
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