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 ...

In Lewis Carroll's "Through the Looking-Glass," Alice is stuck in a never-ending race with the Red Queen yet never gains a lead. "It takes all the running you can do to keep in the same place," the ...

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A new suggestion that complexity increases over time, not just in living organisms but in the nonliving world, promises to rewrite notions of time and evolution. In 1950 the Italian physicist Enrico ...

Abstract: Graph clustering has become a crucial technique for uncovering community structures in complex network data. However, existing approaches often introduce cumbersome regularization or ...

Scientists at Université de Montréal and its affiliated Montreal Clinical Research Institute (IRCM) have uncovered unique roles for a protein complex in the structural organization and function of ...

The internal combustion engines that power our cars rely on an extensive series of interconnected parts, mechanical systems, and electronics to send us down the road. Some of those components are well ...

The next big thing is AI tools that can do more complex tasks. Here’s how they will work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you ...

ABSTRACT: With the help of the classical Abel’s lemma on summation by parts and algorithm of q-hypergeometric summations, we deal with the summation, which can be written as multiplication of a ...