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: "win win kernelization for degree sequence completion problems"
  Abstract: We study provably effective and efficient data reduction for a class of NP-hard graph modification problems based on vertex degree properties. We show fixed-parameter tractability for NP-hard graph completion (that is, edge addition) cases while we show that there is no hope to achieve analogous results for the corresponding vertex or edge deletion versions. Our algorithms are based on transforming graph completion problems into efficiently solvable number problems and exploiting f-factor computations for translating the results back into the graph setting. Our core observation is that we encounter a win-win situation: either the number of edge additions is small or the problem is polynomial-time solvable. This approach helps in answering an open question by Mathieson and Szeider [JCSS 2012] concerning the polynomial kernelizability of Degree Constraint Edge Addition and leads to a general method of approaching polynomial-time preprocessing for a wider class of degree sequence completion problems.

Connected through hyperedge HE-1 (induced by source paper "graph editing to a given degree sequence"):
  with members:
    - "editing to a planar graph of given degrees"
    - "editing to eulerian graphs"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-2 (induced by source paper "a parameterized algorithmics framework for degree sequence completion problems in directed graphs"):
  with members:
    - "graph editing to a given degree sequence"
    - "completing orientations of partially oriented graphs"
    - "improved upper and lower bound heuristics for degree anonymization in social networks"
    - "editing to a graph of given degrees"
    - "np hardness and fixed parameter tractability of realizing degree sequences with directed acyclic graphs"

Connected through hyperedge HE-3 (induced by source paper "a parameterized algorithmics framework for digraph degree sequence completion problems"):
  with members:
    - "graph editing to a given degree sequence"
    - "completing orientations of partially oriented graphs"
    - "improved upper and lower bound heuristics for degree anonymization in social networks"
    - "editing to a graph of given degrees"

Connected through hyperedge HE-4 (induced by source paper "parameterized algorithmics for graph modification problems on interactions with heuristics"):
  with members:
    - "improved upper and lower bound heuristics for degree anonymization in social networks"
    - "parameterized algorithmics for computational social choice nine research challenges"
    - "faster parameterized algorithms using linear programming"
    - "approximation and tidying a problem kernel for s plex cluster vertex deletion"

Connected through hyperedge HE-5 (induced by source paper "editing to a planar graph of given degrees"):
  with members:
    - "graph editing problems with extended regularity constraints"
    - "editing to eulerian graphs"
    - "a linear kernel for planar red blue dominating set"
    - "editing to a connected graph of given degrees"
    - "explicit linear kernels via dynamic programming"
    - "editing to a graph of given degrees"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-6 (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"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "a generalization of nemhauser and trotter s local optimization theorem"
    - "deciding first order properties of locally tree decomposable structures"

Connected through hyperedge HE-7 (induced by source paper "editing to eulerian graphs"):
  with members:
    - "finding even subgraphs even faster"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "parameterized eulerian strong component arc deletion problem on tournaments"

Connected through hyperedge HE-8 (induced by source paper "editing to a graph of given degrees"):
  with members:
    - "editing to a connected graph of given degrees"
    - "kernelization lower bounds by cross composition"
    - "cross composition a new technique for kernelization lower bounds"

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.DM(Discrete Mathematics)