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: "delays induce an exponential memory gap for rendezvous in trees"
  Abstract: The aim of rendezvous in a graph is meeting of two mobile agents at some node of an unknown anonymous connected graph. In this paper, we focus on rendezvous in trees, and, analogously to the efforts that have been made for solving the exploration problem with compact automata, we study the size of memory of mobile agents that permits to solve the rendezvous problem deterministically. We assume that the agents are identical, and move in synchronous rounds. #R##N#We first show that if the delay between the starting times of the agents is arbitrary, then the lower bound on memory required for rendezvous is Omega(log n) bits, even for the line of length n. This lower bound meets a previously known upper bound of O(log n) bits for rendezvous in arbitrary graphs of size at most n. Our main result is a proof that the amount of memory needed for rendezvous with simultaneous start depends essentially on the number L of leaves of the tree, and is exponentially less impacted by the number n of nodes. Indeed, we present two identical agents with O(log L + loglog n) bits of memory that solve the rendezvous problem in all trees with at most n nodes and at most L leaves. Hence, for the class of trees with polylogarithmically many leaves, there is an exponential gap in minimum memory size needed for rendezvous between the scenario with arbitrary delay and the scenario with delay zero. Moreover, we show that our upper bound is optimal by proving that Omega(log L + loglog n)$ bits of memory are required for rendezvous, even in the class of trees with degrees bounded by 3.

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"
    - "how to meet asynchronously at polynomial cost"
    - "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"
    - "how to meet asynchronously at polynomial cost"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-3 (induced by source paper "using time to break symmetry universal deterministic anonymous rendezvous"):
  with members:
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-4 (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 distance aware mobile agents in unknown graphs"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"

Connected through hyperedge HE-5 (induced by source paper "deterministic rendezvous with detection using beeps"):
  with members:
    - "the computational power of beeps"
    - "time versus cost tradeoffs for deterministic rendezvous in networks"
    - "rendezvous of two robots with constant memory"
    - "how to meet asynchronously at polynomial cost"
    - "beeping a maximal independent set"
    - "deploying wireless networks with beeps"

Connected through hyperedge HE-6 (induced by source paper "deterministic gathering with crash faults"):
  with members:
    - "rendezvous in networks in spite of delay faults"
    - "byzantine gathering in networks"
    - "how to meet asynchronously at polynomial cost"
    - "anonymous meeting in networks"

Connected through hyperedge HE-7 (induced by source paper "use of information memory and randomization in asynchronous gathering"):
  with members:
    - "a distributed algorithm for gathering many fat mobile robots in the plane"
    - "anonymous meeting in networks"
    - "how to meet asynchronously almost everywhere"

Connected through hyperedge HE-8 (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"
    - "rendezvous of distance aware mobile agents in unknown graphs"
    - "fast rendezvous with advice"
    - "how to meet asynchronously at polynomial cost"

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.DC(Distributed, Parallel, and Cluster Computing)