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: "xheal localized self healing using expanders"
  Abstract: We consider the problem of self-healing in reconfigurable networks (e.g. peer-to-peer and wireless mesh networks) that are under repeated attack by an omniscient adversary and propose a fully distributed algorithm, Xheal that maintains good expansion and spectral properties of the network, also keeping the network connected. Moreover, Xheal does this while allowing only low stretch and degree increase per node. Thus, the algorithm heals global properties while only doing local changes and using only local information. #R##N#Our work improves over the self-healing algorithms 'Forgiving tree'[PODC 2008] and 'Forgiving graph'[PODC 2009] (using a similar model) in that we are able to give guarantees on degree and stretch, while at the same time preserving the expansion and spectral properties of the network. These repairs preserve the invariants in the following sense. At any point in the algorithm, the expansion of the graph will be either `better' than the expansion of the graph formed by considering only the adversarial insertions (not the adversarial deletions) or the expansion will be, at least, a constant. Also, the stretch i.e. the distance between any pair of nodes in the healed graph is no more than a $O(\log n)$ factor. Similarly, at any point, a node $v$ whose degree would have been $d$ in the graph with adversarial insertions only, will have degree at most $O(\kappa d)$ in the actual graph, for a small parameter $\kappa$. We also provide bounds on the second smallest eigenvalue of the Laplacian which captures key properties such as mixing time, conductance, congestion in routing etc. Our distributed data structure has low amortized latency and bandwidth requirements.

Connected through hyperedge HE-1 (induced by source paper "error correction coding meets cyber physical systems message passing analysis of self healing interdependent networks"):
  with members:
    - "message passing for analysis and resilient design of self healing interdependent cyber physical networks"
    - "a lower bound on the performance of dynamic curing policies for epidemics on graphs"
    - "robustness and algebraic connectivity of random interdependent networks"

Connected through hyperedge HE-2 (induced by source paper "self healing computation"):
  with members:
    - "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"
    - "polynomial integrality gaps for strong sdp relaxations of densest k subgraph"
    - "distributed verification and hardness of distributed approximation"
    - "algorithms for self healing networks"
    - "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:
    - "algorithms for self healing networks"
    - "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 algorithms for byzantine faults"):
  with members:
    - "edge preserving self healing keeping network backbones densely connected"
    - "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 "on dynamic distributed computing"):
  with members:
    - "distributed agreement in dynamic peer to peer networks"

Connected through hyperedge HE-7 (induced by source paper "distributed agreement in dynamic peer to peer networks"):
  with members:
    - "fast distributed computation in dynamic networks via random walks"
    - "dex self healing expanders"
    - "information spreading in dynamic graphs"
    - "faster information dissemination in dynamic networks via network coding"
    - "time varying graphs and dynamic networks"
    - "breaking the o n 2 bit barrier scalable byzantine agreement with an adaptive adversary"
    - "the effect of faults on network expansion"
    - "fast distributed algorithms for computing separable functions"

Connected through hyperedge HE-8 (induced by source paper "edge preserving self healing keeping network backbones densely connected"):
  with members:
    - "algorithms for self healing networks"
    - "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)