Graph databases store data as a network of interconnected facts. This type of data model is useful for researchers to easily ...

We had to approach this real-world problem more practically while still using network theory tools that captured enough population heterogeneity to arrive at a meaningful and useful strategy." ...

In the late 1990s, as the internet was moving to web 2.0 stage, several online messaging and social networks launched with new multimedia services, propelling them to new levels of popularity.

The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, ...

Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...

That’s a reference to Elon Musk, who acquired Twitter in October 2022, renamed it X, and turned the social network into his personal amplification ... As mentioned above, in theory that means that if ...

Abstract: Graph Neural Networks (GNNs) show great power in Knowledge Graph Completion (KGC) as they can handle nonEuclidean graph structures and do not depend on the specific shape or topology of the ...

Given a new, untrained deep neural network designed for some task, the hypernetwork predicts the parameters for the new network in fractions of a second, and in theory could make training ... They ...