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: "a distributed 2 epsilon approximation for vertex cover in o log delta epsilon log log delta rounds"
  Abstract: We present a simple deterministic distributed $(2+\epsilon)$-approximation algorithm for minimum weight vertex cover, which completes in $O(\log{\Delta}/\epsilon\log\log{\Delta})$ rounds, where $\Delta$ is the maximum degree in the graph, for any $\epsilon>0$ which is at most $O(1)$. For a constant $\epsilon$, this implies a constant approximation in $O(\log{\Delta}/\log\log{\Delta})$ rounds, which contradicts the lower bound of [KMW10].

Connected through hyperedge HE-1 (induced by source paper "fast distributed approximation for max cut"):
  with members:
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "distributed strong diameter network decomposition"
    - "randomized composable core sets for distributed submodular maximization"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "a new framework for distributed submodular maximization"
    - "large cuts with local algorithms on triangle free graphs"
    - "distributed approximation algorithms for weighted shortest paths"
    - "streaming lower bounds for approximating max cut"

Connected through hyperedge HE-2 (induced by source paper "distributed delta 1 coloring in sublogarithmic rounds"):
  with members:
    - "the complexity of distributed edge coloring with small palettes"
    - "a time hierarchy theorem for the local model"
    - "simple and near optimal distributed coloring for sparse graphs"
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "local conflict coloring"
    - "an improved distributed algorithm for maximal independent set"

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)