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: "editing to a graph of given degrees"
  Abstract: We consider the Editing to a Graph of Given Degrees problem that asks for a graph G, non-negative integers d,k and a function \delta:V(G)->{1,...,d}, whether it is possible to obtain a graph G' from G such that the degree of v is \delta(v) for any vertex v by at most k vertex or edge deletions or edge additions. We construct an FPT-algorithm for Editing to a Graph of Given Degrees parameterized by d+k. We complement this result by showing that the problem has no polynomial kernel unless NP\subseteq coNP/poly.

Connected through hyperedge HE-1 (induced by source paper "building large k cores from sparse graphs"):
  with members:
    - "a survey of parameterized algorithms and the complexity of edge modification"
    - "finding even subgraphs even faster"
    - "editing to a connected graph of given degrees"
    - "preventing unraveling in social networks gets harder"
    - "parameterized complexity of the anchored k core problem for directed graphs"
    - "understanding edge connectivity in the internet through core decomposition"
    - "k core decomposition of internet graphs hierarchies self similarity and measurement biases"

Connected through hyperedge HE-2 (induced by source paper "graph editing to a given degree sequence"):
  with members:
    - "editing to a planar graph of given degrees"
    - "win win kernelization for degree sequence completion problems"
    - "editing to eulerian graphs"
    - "editing to a connected graph of given degrees"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-3 (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"
    - "win win kernelization for degree sequence completion problems"
    - "improved upper and lower bound heuristics for degree anonymization in social networks"
    - "np hardness and fixed parameter tractability of realizing degree sequences with directed acyclic graphs"

Connected through hyperedge HE-4 (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"
    - "win win kernelization for degree sequence completion problems"
    - "improved upper and lower bound heuristics for degree anonymization in social networks"

Connected through hyperedge HE-5 (induced by source paper "fixed parameter tractable distances to sparse graph classes"):
  with members:
    - "graph editing problems with extended regularity constraints"
    - "graph isomorphism parameterized by elimination distance to bounded degree"
    - "editing to a connected graph of given degrees"
    - "kernelization using structural parameters on sparse graph classes"
    - "deciding first order properties of nowhere dense graphs"
    - "homomorphism preservation on quasi wide classes"
    - "deciding first order properties of locally tree decomposable structures"
    - "fixed parameter tractability definability and model checking"

Connected through hyperedge HE-6 (induced by source paper "editing to a planar graph of given degrees"):
  with members:
    - "graph editing problems with extended regularity constraints"
    - "win win kernelization for degree sequence completion problems"
    - "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"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-7 (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"
    - "a generalization of nemhauser and trotter s local optimization theorem"
    - "deciding first order properties of locally tree decomposable structures"

Connected through hyperedge HE-8 (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"
    - "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"
    - "a generalization of nemhauser and trotter s local optimization theorem"

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.DS(Data Structures and Algorithms)