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: "algorithms for self healing networks"
  Abstract: Many modern networks are reconfigurable, in the sense that the topology of the network can be changed by the nodes in the network. For example, peer-to-peer, wireless and ad-hoc networks are reconfigurable. More generally, many social networks, such as a company’s organizational chart; infrastructure networks, such as an airline’s transportation network; and biological networks, such as the human brain, are also reconfigurable. Modern reconfigurable networks have a complexity unprecedented in the history of engineering, resembling more a dynamic and evolving living animal rather than a structure of steel designed from a blueprint. Unfortunately, our mathematical and algorithmic tools have not yet developed enough to handle this complexity and fully exploit the flexibility of these networks. #R##N#We believe that it is no longer possible to build networks that are scalable and never have node failures. Instead, these networks should be able to admit small, and maybe, periodic failures and still recover like skin heals from a cut. This process, where the network can recover itself by maintaining key invariants in response to attack by a powerful adversary is what we call self-healing. #R##N#Here, we present several fast and provably good distributed algorithms for self-healing in reconfigurable dynamic networks. Each of these algorithms have different properties, a different set of gaurantees and limitations. We also discuss future directions and theoretical questions we would like to answer.

Connected through hyperedge HE-1 (induced by source paper "some problems in compact message passing"):
  with members:
    - "linear size hopsets with small hopbound and distributed routing with low memory"
    - "a self stabilizing general de bruijn graph"
    - "the computational power of beeps"
    - "fast partial distance estimation and applications"
    - "dex self healing expanders"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "the forgiving tree a self healing distributed data structure"
    - "general compact labeling schemes for dynamic trees"

Connected through hyperedge HE-2 (induced by source paper "compact routing messages in self healing trees"):
  with members:
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "self healing computation"
    - "fast and compact distributed verification and self stabilization of a dfs tree"
    - "dex self healing expanders"
    - "edge preserving self healing keeping network backbones densely connected"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "picking up the pieces self healing in reconfigurable networks"
    - "the forgiving tree a self healing distributed data structure"

Connected through hyperedge HE-3 (induced by source paper "dense subgraphs on dynamic networks"):
  with members:
    - "fast and compact self stabilizing verification computation and fault detection of an mst"
    - "densest subgraph in streaming and mapreduce"
    - "xheal localized self healing using expanders"
    - "polynomial integrality gaps for strong sdp relaxations of densest k subgraph"
    - "distributed verification and hardness of distributed approximation"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"

Connected through hyperedge HE-4 (induced by source paper "dex self healing expanders"):
  with members:
    - "xheal localized self healing using expanders"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "picking up the pieces self healing in reconfigurable networks"
    - "the forgiving tree a self healing distributed data structure"

Connected through hyperedge HE-5 (induced by source paper "self healing systems and virtual structures"):
  with members:
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "the forgiving tree a self healing distributed data structure"

Connected through hyperedge HE-6 (induced by source paper "edge preserving self healing keeping network backbones densely connected"):
  with members:
    - "xheal localized self healing using expanders"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "picking up the pieces self healing in reconfigurable networks"
    - "the forgiving tree a self healing distributed data structure"

Connected through hyperedge HE-7 (induced by source paper "xheal localized self healing using expanders"):
  with members:
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "picking up the pieces self healing in reconfigurable networks"
    - "the forgiving tree a self healing distributed data structure"

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)