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: "a generalization of nemhauser and trotter s local optimization theorem"
  Abstract: The Nemhauser-Trotter local optimization theorem applies to the NP-hard Vertex Cover problem and has applications in approximation as well as parameterized algorithmics. We present a framework that generalizes Nemhauser and Trotter's result to vertex deletion and graph packing problems, introducing novel algorithmic strategies based on purely combinatorial arguments (not referring to linear programming as the Nemhauser-Trotter result originally did). We exhibit our framework using a generalization of Vertex Cover, called Bounded- Degree Deletion, that has promise to become an important tool in the analysis of gene and other biological networks. For some fixed d \geq 0, Bounded-Degree Deletion asks to delete as few vertices as possible from a graph in order to transform it into a graph with maximum vertex degree at most d. Vertex Cover is the special case of d = 0. Our generalization of the Nemhauser-Trotter theorem implies that Bounded-Degree Deletion has a problem kernel with a linear number of vertices for every constant d. We also outline an application of our extremal combinatorial approach to the problem of packing stars with a bounded number of leaves. Finally, charting the border between (parameterized) tractability and intractability for Bounded-Degree Deletion, we provide a W[2]-hardness result for Bounded-Degree Deletion in case of unbounded d-values.

Connected through hyperedge HE-1 (induced by source paper "linear kernels for separating a graph into components of bounded size"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "minimum bisection is fixed parameter tractable"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "hitting forbidden minors approximation and kernelization"
    - "multicut is fpt"

Connected through hyperedge HE-2 (induced by source paper "on a generalization of nemhauser and trotter s local optimization theorem"):
  with members:
    - "a parameterized algorithm for bounded degree vertex deletion"
    - "faster parameterized algorithms using linear programming"
    - "hitting forbidden minors approximation and kernelization"

Connected through hyperedge HE-3 (induced by source paper "kernelization and parameterized algorithms for 3 path vertex cover"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"
    - "a parameterized algorithm for bounded degree vertex deletion"

Connected through hyperedge HE-4 (induced by source paper "a parameterized algorithm for bounded degree vertex deletion"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"

Connected through hyperedge HE-5 (induced by source paper "graph editing problems with extended regularity constraints"):
  with members:
    - "editing to a planar graph of given degrees"
    - "fixed parameter tractable distances to sparse graph classes"
    - "win win kernelization for degree sequence completion problems"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "deciding first order properties of locally tree decomposable structures"

Connected through hyperedge HE-6 (induced by source paper "linear vertex kernel for the problem of packing r stars into a graph without long induced paths"):
  with members:
    - "hitting forbidden minors approximation and kernelization"

Connected through hyperedge HE-7 (induced by source paper "win win kernelization for degree sequence completion problems"):
  with members:
    - "improved upper and lower bound heuristics for degree anonymization in social networks"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "kernelization lower bounds by cross composition"
    - "the h index of a graph and its application to dynamic subgraph statistics"
    - "cross composition a new technique for kernelization lower bounds"

Connected through hyperedge HE-8 (induced by source paper "graph isomorphism parameterized by elimination distance to bounded degree"):
  with members:
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"
    - "practical graph isomorphism ii"
    - "structure theorem and isomorphism test for graphs with excluded topological subgraphs"

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)