Abstract: Increasing demands for versatile applications have spurred the rapid development of Unmanned Underwater Vehicle (UUV) networks. Nevertheless, multi-UUV movements exacerbates the ...
Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...
Building upon this, we compiled a comprehensive sepsis knowledge graph, comprising of 1894 nodes and 2021 distinct relationships. Conclusions: This study represents a pioneering effort in using LLMs, ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
New benchmarks show semantic code graphs helping coding agents find change locations faster and complete updates more ...
Azenta’s defensive Russell inclusion highlights its life sciences role, service growth plan, margin pressure, and ...
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