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: "on the locality of some np complete problems"
  Abstract: We consider the distributed message-passing {LOCAL} model. In this model a communication network is represented by a graph where vertices host processors, and communication is performed over the edges. Computation proceeds in synchronous rounds. The running time of an algorithm is the number of rounds from the beginning until all vertices terminate. Local computation is free. An algorithm is called {local} if it terminates within a constant number of rounds. The question of what problems can be computed locally was raised by Naor and Stockmayer \cite{NS93} in their seminal paper in STOC'93. Since then the quest for problems with local algorithms, and for problems that cannot be computed locally, has become a central research direction in the field of distributed algorithms \cite{KMW04,KMW10,LOW08,PR01}. #R##N#We devise the first local algorithm for an {NP-complete} problem. Specifically, our randomized algorithm computes, with high probability, an O(n^{1/2 + epsilon} \cdot chi)-coloring within O(1) rounds, where epsilon > 0 is an arbitrarily small constant, and chi is the chromatic number of the input graph. (This problem was shown to be NP-complete in \cite{Z07}.) On our way to this result we devise a constant-time algorithm for computing (O(1), O(n^{1/2 + epsilon}))-network-decompositions. Network-decompositions were introduced by Awerbuch et al. \cite{AGLP89}, and are very useful for solving various distributed problems. The best previously-known algorithm for network-decomposition has a polylogarithmic running time (but is applicable for a wider range of parameters) \cite{LS93}. We also devise a Delta^{1 + epsilon}-coloring algorithm for graphs with sufficiently large maximum degree Delta that runs within O(1) rounds. It improves the best previously-known result for this family of graphs, which is O(\log-star n) \cite{SW10}.

Connected through hyperedge HE-1 (induced by source paper "smaller cuts higher lower bounds"):
  with members:
    - "a faster deterministic distributed algorithm for weighted apsp through pipelining"
    - "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "optimal distributed coloring algorithms for planar graphs in the local model"
    - "distributed exact shortest paths in sublinear time"
    - "a time hierarchy theorem for the local model"
    - "a 2 ϵ approximation for maximum weight matching in the semi streaming model"
    - "quadratic and near quadratic lower bounds for the congest model"

Connected through hyperedge HE-2 (induced by source paper "on the use of randomness in local distributed graph algorithms"):
  with members:
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "on the complexity of local distributed graph problems"
    - "distributed strong diameter network decomposition"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "an improved distributed algorithm for maximal independent set"

Connected through hyperedge HE-3 (induced by source paper "improved network decompositions using small messages with applications on mis neighborhood covers and beyond"):
  with members:
    - "deterministic distributed dominating set approximation in the congest model"
    - "distributed strong diameter network decomposition"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "an improved distributed algorithm for maximal independent set"
    - "parallel graph decompositions using random shifts"
    - "the locality of distributed symmetry breaking"
    - "near linear work parallel sdd solvers low diameter decomposition and low stretch subgraphs"

Connected through hyperedge HE-4 (induced by source paper "fast distributed backup placement in sparse and dense networks"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "deterministic distributed delta o delta edge coloring and vertex coloring of graphs with bounded diversity"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"

Connected through hyperedge HE-5 (induced by source paper "distributed minimum vertex coloring and maximum independent set in chordal graphs"):
  with members:
    - "simple and near optimal distributed coloring for sparse graphs"
    - "on the complexity of local distributed graph problems"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "an improved distributed algorithm for maximal independent set"
    - "the locality of distributed symmetry breaking"

Connected through hyperedge HE-6 (induced by source paper "quadratic and near quadratic lower bounds for the congest model"):
  with members:
    - "distributed exact shortest paths in sublinear time"
    - "a time hierarchy theorem for the local model"
    - "distributed approximation of maximum independent set and maximum matching"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "distributed construction of purely additive spanners"
    - "algebraic methods in the congested clique"
    - "threesomes degenerates and love triangles"

Connected through hyperedge HE-7 (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-8 (induced by source paper "distributed strong diameter network decomposition"):
  with members:
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "distributed symmetry breaking in hypergraphs"
    - "parallel graph decompositions using random shifts"
    - "improved parallel algorithms for spanners and hopsets"

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)