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: "finding stable matchings that are robust to errors in the input"
  Abstract: Given an instance $A$ of stable matching, let $B$ be the instance that results after introducing one error from a polynomially large class of errors, and chosen via a discrete probability distribution. We want to find a stable matching for $A$ that maximizes the probability of being stable in $B$ as well. Via new structural properties, related to the lattice of stable matchings, we give a polynomial time algorithm for this problem. To the best of our knowledge, this is the first work to explore the issue of robustness to errors for this problem.

Connected through hyperedge HE-1 (induced by source paper "adapting stable matchings to evolving preferences"):
  with members:
    - "stable roommates with narcissistic single peaked and single crossing preferences"
    - "matchings under preferences strength of stability and trade offs"
    - "stable matchings robust solutions and distributive lattices"
    - "stable marriage with multi modal preferences"
    - "reoptimization of parameterized problems"
    - "parameterized dynamic cluster editing"
    - "finding robust solutions to stable marriage"
    - "how hard is it to satisfy almost all roommates"

Connected through hyperedge HE-2 (induced by source paper "matchings under preferences strength of stability and trade offs"):
  with members:
    - "stable roommates with narcissistic single peaked and single crossing preferences"
    - "stable matchings robust solutions and distributive lattices"
    - "robust and approximately stable marriages under partial information"
    - "stable marriage with multi modal preferences"
    - "on the complexity of robust stable marriage"
    - "how hard is it to satisfy almost all roommates"
    - "robustness among multiwinner voting rules"
    - "stable matching with uncertain linear preferences"

Connected through hyperedge HE-3 (induced by source paper "stable matchings robust solutions and distributive lattices"):
  with members:
    - "a natural generalization of stable matching solved via new insights into ideal cuts"
    - "finding robust solutions to stable marriage"
    - "on the complexity of robust stable marriage"
    - "stable matching with uncertain linear preferences"

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)