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: "rendezvous of distance aware mobile agents in unknown graphs"
  Abstract: We study the problem of rendezvous of two mobile agents starting at distinct locations in an unknown graph. The agents have distinct labels and walk in synchronous steps. However the graph is unlabelled and the agents have no means of marking the nodes of the graph and cannot communicate with or see each other until they meet at a node. When the graph is very large we want the time to rendezvous to be independent of the graph size and to depend only on the initial distance between the agents and some local parameters such as the degree of the vertices, and the size of the agent's label. It is well known that even for simple graphs of degree $\Delta$, the rendezvous time can be exponential in $\Delta$ in the worst case. In this paper, we introduce a new version of the rendezvous problem where the agents are equipped with a device that measures its distance to the other agent after every step. We show that these \emph{distance-aware} agents are able to rendezvous in any unknown graph, in time polynomial in all the local parameters such the degree of the nodes, the initial distance $D$ and the size of the smaller of the two agent labels $l = \min(l_1, l_2)$. Our algorithm has a time complexity of $O(\Delta(D+\log{l}))$ and we show an almost matching lower bound of $\Omega(\Delta(D+\log{l}/\log{\Delta}))$ on the time complexity of any rendezvous algorithm in our scenario. Further, this lower bound extends existing lower bounds for the general rendezvous problem without distance awareness.

Connected through hyperedge HE-1 (induced by source paper "deterministic meeting of sniffing agents in the plane"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "fault tolerant rendezvous in networks"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"

Connected through hyperedge HE-2 (induced by source paper "asynchronous approach in the plane a deterministic polynomial algorithm"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "byzantine gathering in networks"
    - "getting close without touching near gathering for autonomous mobile robots"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "mobile agents rendezvous in spite of a malicious agent"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"

Connected through hyperedge HE-3 (induced by source paper "byzantine gathering in networks"):
  with members:
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"
    - "delays induce an exponential memory gap for rendezvous in trees"
    - "anonymous meeting in networks"
    - "the gathering problem for two oblivious robots with unreliable compasses"
    - "how to meet asynchronously almost everywhere"

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)