Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...
Hidden Fibonacci numbers, a new shape and the search for a grand unified theory of mathematics are among our choices for most ...
Abstract: Graph representation learning (GRL) has become a new learning paradigm, supporting a wide range of tasks such as node classification, link prediction, and graph classification. However, the ...
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