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: "symmetry breaking in the congest model time and message efficient algorithms for ruling sets"
  Abstract: We study local symmetry breaking problems in the CONGEST model, focusing on ruling set problems, which generalize the fundamental Maximal Independent Set (MIS) problem. A $\beta$-ruling set is an independent set such that every node in the graph is at most $\beta$ hops from a node in the independent set. Our work is motivated by the following central question: can we break the $\Theta(\log n)$ time complexity barrier and the $\Theta(m)$ message complexity barrier in the CONGEST model for MIS or closely-related symmetry breaking problems? We present the following results: #R##N#- Time Complexity: We show that we can break the $O(\log n)$ "barrier" for 2- and 3-ruling sets. We compute 3-ruling sets in $O\left(\frac{\log n}{\log \log n}\right)$ rounds with high probability (whp). More generally we show that 2-ruling sets can be computed in $O\left(\log \Delta \cdot (\log n)^{1/2 + \varepsilon} + \frac{\log n}{\log\log n}\right)$ rounds for any $\varepsilon > 0$, which is $o(\log n)$ for a wide range of $\Delta$ values (e.g., $\Delta = 2^{(\log n)^{1/2-\varepsilon}}$). These are the first 2- and 3-ruling set algorithms to improve over the $O(\log n)$-round complexity of Luby's algorithm in the CONGEST model. #R##N#- Message Complexity: We show an $\Omega(n^2)$ lower bound on the message complexity of computing an MIS (i.e., 1-ruling set) which holds also for randomized algorithms and present a contrast to this by showing a randomized algorithm for 2-ruling sets that, whp, uses only $O(n \log^2 n)$ messages and runs in $O(\Delta \log n)$ rounds. This is the first message-efficient algorithm known for ruling sets, which has message complexity nearly linear in $n$ (which is optimal up to a polylogarithmic factor).

Connected through hyperedge HE-1 (induced by source paper "deterministic distributed ruling sets of line graphs"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "triangle finding and listing in congest networks"
    - "on derandomizing local distributed algorithms"
    - "an optimal distributed delta 1 coloring algorithm"
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "deterministic distributed delta o delta edge coloring and vertex coloring of graphs with bounded diversity"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"

Connected through hyperedge HE-2 (induced by source paper "distributed reconfiguration of maximal independent sets"):
  with members:
    - "reconfiguration of colorable sets in classes of perfect graphs"
    - "deterministic distributed ruling sets of line graphs"
    - "an improved distributed algorithm for maximal independent set"
    - "the complexity of change"
    - "super fast 3 ruling sets"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-3 (induced by source paper "the complexity of leader election a chasm at diameter two"):
  with members:
    - "sublinear bounds for randomized leader election"

Connected through hyperedge HE-4 (induced by source paper "fooling views a new lower bound technique for distributed computations under congestion"):
  with members:
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "tight bounds for distributed graph computations"
    - "distributed testing of excluded subgraphs"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "fast distributed algorithms for testing graph properties"
    - "distributed construction of purely additive spanners"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"

Connected through hyperedge HE-5 (induced by source paper "locally iterative distributed delta 1 coloring below szegedy vishwanathan barrier and applications to self stabilization and to restricted bandwidth models"):
  with members:
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "derandomizing local distributed algorithms under bandwidth restrictions"
    - "on the complexity of local distributed graph problems"
    - "optimal dynamic distributed mis"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "toward more localized local algorithms removing assumptions concerning global knowledge"
    - "the locality of distributed symmetry breaking"

Connected through hyperedge HE-6 (induced by source paper "a time and message optimal distributed algorithm for minimum spanning trees"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "round and message optimal distributed graph algorithms"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "low congestion shortcuts without embedding"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"
    - "distributed symmetry breaking in hypergraphs"
    - "distributed approximation algorithms for weighted shortest paths"

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)