human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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.

Includes members:
  Member "stable matchings robust solutions and distributive lattices":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adapting stable matchings to evolving preferences")
  Member "finding robust solutions to stable marriage":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "adapting stable matchings to evolving preferences")
  Member "on the complexity of robust stable marriage":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "matchings under preferences strength of stability and trade offs")
  Member "stable matching with uncertain linear preferences":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "adapting stable matchings to evolving preferences")

Question: Please tell me which class the source paper 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)