Noise and decoherence are serious problems for scalable quantum computing schemes. Using an all-optical approach, Bell et al.explore the use of four-qubit graph states for encoding quantum ...

Graph Foundation Model. Higher Education Press . Journal Frontiers of Computer Science DOI 10.1007/s11704-024-40046-0 ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

Yu Lin, Jeffrey Yuan, Mikhail Kolmogorov, Max W. Shen, Mark Chaisson, Pavel A. Pevzner, Assembly of long error-prone reads using de Bruijn graphs, Proceedings of the National Academy of Sciences of ...

This allows you to control the input to the model, resulting in a responsive, easy-to-interrogate natural language interface on top of your graph. The Rise Of The SLM ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task ... Shared-graph convolution ...