human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "swarm aggregation with fading attractions"
  Abstract: The use of gradient descent for organizing multi-agent systems is widely appreciated in mathematics and in its real-world applications. Besides a demonstration of the existence of a local minimum point, in the context of formation control, gradient descent can be interpreted as providing decentralized control laws for pairs of neighboring agents. Often, the control laws between neighboring agents are designed so that two agents repel/attract each other at a short/long distance. Conventional techniques for proving convergence of a dynamical system over a Euclidean space are, for example, constructing a radially unbounded Lyapunov function and then appealing to the LaSalle's principle. When the attractions between neighboring agents are nonfading; then, it is well known that the potential function associated with the multi-agent system is radially unbounded, and hence using LaSalle's principle is enough for establishing the system convergence. However, if the attractions are fading; then, using only the LaSalle's arguments may not be sufficient. In this paper, we assume that interactions between neighboring agents have fading attractions. We develop, among other things, a new approach for proving the convergence of the resulting gradient flow; in particular, we introduce a class of partitions, termed dilute partitions, of frameworks. This is a rich question relating to classic algorithms such as $k$-mean clustering and its variants, and is useful for studying other multi-agent problems concerning about large size formations.

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.SY(Systems and Control)