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: "how to meet asynchronously at polynomial cost"
  Abstract: Two mobile agents starting at different nodes of an unknown network have to meet. This task is known in the literature as rendezvous. Each agent has a different label which is a positive integer known to it, but unknown to the other agent. Agents move in an asynchronous way: the speed of agents may vary and is controlled by an adversary. The cost of a rendezvous algorithm is the total number of edge traversals by both agents until their meeting. The only previous deterministic algorithm solving this problem has cost exponential in the size of the graph and in the larger label. In this paper we present a deterministic rendezvous algorithm with cost polynomial in the size of the graph and in the length of the smaller label. Hence we decrease the cost exponentially in the size of the graph and doubly exponentially in the labels of agents. As an application of our rendezvous algorithm we solve several fundamental problems involving teams of unknown size larger than 1 of labeled agents moving asynchronously in unknown networks. Among them are the following problems: team size, in which every agent has to find the total number of agents, leader election, in which all agents have to output the label of a single agent, perfect renaming in which all agents have to adopt new different labels from the set {1, . . . , k}, where k is the number of agents, and gossiping, in which each agent has initially a piece of information (value) and all agents have to output all the values. Using our rendezvous algorithm we solve all these problems at cost polynomial in the size of the graph and in the smallest length of all labels of participating agents.

Connected through hyperedge HE-1 (induced by source paper "want to gather no need to chatter"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "byzantine gathering in networks"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-2 (induced by source paper "latecomers help to meet deterministic anonymous gathering in the plane"):
  with members:
    - "using time to break symmetry universal deterministic anonymous rendezvous"
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "byzantine gathering in networks"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-3 (induced by source paper "byzantine gathering in polynomial time"):
  with members:
    - "search on a line by byzantine robots"
    - "byzantine gathering in networks"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-4 (induced by source paper "using time to break symmetry universal deterministic anonymous rendezvous"):
  with members:
    - "byzantine gathering in networks"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-5 (induced by source paper "multi robot symmetric rendezvous search on the line with an unknown initial distance"):
  with members:
    - "how to meet asynchronously almost everywhere"
    - "asynchronous deterministic rendezvous in bounded terrains"

Connected through hyperedge HE-6 (induced by source paper "gathering in dynamic rings"):
  with members:
    - "self stabilizing robots in highly dynamic environments"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"
    - "byzantine gathering in networks"
    - "live exploration of dynamic rings"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "fault tolerant rendezvous in networks"
    - "lower bounds on information dissemination in dynamic networks"

Connected through hyperedge HE-7 (induced by source paper "self stabilizing meeting in a polygon by anonymous oblivious robots"):
  with members:
    - "meeting in a polygon by anonymous oblivious robots"
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "mutual visibility by luminous robots without collisions"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "distributed computing by mobile robots uniform circle formation"
    - "perspective simple agents learn to find their way an introduction on mapping polygons"
    - "how to meet asynchronously almost everywhere"
    - "asynchronous deterministic rendezvous in bounded terrains"

Connected through hyperedge HE-8 (induced by source paper "meeting in a polygon by anonymous oblivious robots"):
  with members:
    - "asynchronous approach in the plane a deterministic polynomial algorithm"
    - "mutual visibility by luminous robots without collisions"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "distributed computing by mobile robots uniform circle formation"
    - "how to meet asynchronously almost everywhere"
    - "asynchronous deterministic rendezvous in bounded terrains"

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)