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: "no sublogarithmic time approximation scheme for bipartite vertex cover"
  Abstract: Konig's theorem states that on bipartite graphs the size of a maximum matching equals the size of a minimum vertex cover. It is known from prior work that for every $$\epsilon > 0$$ ∈ > 0 there exists a constant-time distributed algorithm that finds a $$(1+\epsilon )$$ ( 1 + ∈ ) -approximation of a maximum matching on bounded-degree graphs. In this work, we show--somewhat surprisingly--that no sublogarithmic-time approximation scheme exists for the dual problem: there is a constant $$\delta > 0$$ ? > 0 so that no randomised distributed algorithm with running time $$o(\log n)$$ o ( log n ) can find a $$(1+\delta )$$ ( 1 + ? ) -approximation of a minimum vertex cover on 2-coloured graphs of maximum degree 3. In fact, a simple application of the Linial---Saks (Combinatorica 13:441---454, 1993) decomposition demonstrates that this run-time lower bound is tight. Our lower-bound construction is simple and, to some extent, independent of previous techniques. Along the way we prove that a certain cut minimisation problem, which might be of independent interest, is hard to approximate locally on expander graphs.

Connected through hyperedge HE-1 (induced by source paper "on the complexity of local distributed graph problems"):
  with members:
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "distributed degree splitting edge coloring and orientations"
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "a hierarchy of local decision"
    - "distributed strong diameter network decomposition"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "local conflict coloring"

Connected through hyperedge HE-2 (induced by source paper "polynomial lower bound for distributed graph coloring in a weak local model"):
  with members:
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "local conflict coloring"
    - "weak models of distributed computing with connections to modal logic"
    - "a lower bound for the distributed lov asz local lemma"
    - "linear in delta lower bounds in the local model"
    - "the locality of distributed symmetry breaking"
    - "deterministic distributed vertex coloring in polylogarithmic time"

Connected through hyperedge HE-3 (induced by source paper "linear in delta lower bounds in the local model"):
  with members:
    - "lower bounds for local approximation"
    - "distributed maximal matching greedy is optimal"
    - "the locality of distributed symmetry breaking"
    - "local computation lower and upper bounds"

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)