Influence Maximization (IM) is a fundamental problem in network science with applications in viral marketing, information dissemination, cybersecurity, and epidemiology. Classical IM solvers often ...
Complex networks are common in real world and can be used to represent complex systems in many fields. More and more complex networks come with attributes in nodes and are named as attributed networks ...
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