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: "spin glass approach to the feedback vertex set problem"
  Abstract: A feedback vertex set (FVS) of an undirected graph is a set of vertices that contains at least one vertex of each cycle of the graph. The feedback vertex set problem consists of constructing a FVS of size less than a certain given value. This combinatorial optimization problem has many practical applications, but it is in the nondeterministic polynomial-complete class of worst-case computational complexity. In this paper we define a spin glass model for the FVS problem and then study this model on the ensemble of finite-connectivity random graphs. In our model the global cycle constraints are represented through the local constraints on all the edges of the graph, and they are then treated by distributed message-passing procedures such as belief propagation. Our belief propagation-guided decimation algorithm can construct nearly optimal feedback vertex sets for single random graph instances and regular lattices. We also design a spin glass model for the FVS problem on a directed graph. Our work will be very useful for identifying the set of vertices that contribute most significantly to the dynamical complexity of a large networked system.

Connected through hyperedge HE-1 (induced by source paper "generalized network dismantling"):
  with members:
    - "simulating sir processes on networks using weighted shortest paths"
    - "underestimated cost of targeted attacks on complex networks"
    - "first principles multiway spectral partitioning of graphs"
    - "recent advances in graph partitioning"

Connected through hyperedge HE-2 (induced by source paper "ensemble approach for generalized network dismantling"):
  with members:
    - "generalized network dismantling"
    - "underestimated cost of targeted attacks on complex networks"
    - "identification of patient zero in static and temporal networks robustness and limitations"
    - "recent advances in graph partitioning"

Connected through hyperedge HE-3 (induced by source paper "underestimated cost of targeted attacks on complex networks"):
  with members:
    - "the cost of attack in competing networks"
    - "first principles multiway spectral partitioning of graphs"
    - "the role of social networks in information diffusion"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-4 (induced by source paper "solving the undirected feedback vertex set problem by local search"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "performance of a cavity method based algorithm for the prize collecting steiner tree problem on graphs"

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.CC(Computational Complexity)