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: "deterministic distributed vertex coloring in polylogarithmic time"
  Abstract: Consider an n-vertex graph G = (V,E) of maximum degree Delta, and suppose that each vertex v \in V hosts a processor. The processors are allowed to communicate only with their neighbors in G. The communication is synchronous, i.e., it proceeds in discrete rounds. In the distributed vertex coloring problem the objective is to color G with Delta + 1, or slightly more than Delta + 1, colors using as few rounds of communication as possible. (The number of rounds of communication will be henceforth referred to as running time.) Efficient randomized algorithms for this problem are known for more than twenty years \cite{L86, ABI86}. Specifically, these algorithms produce a (Delta + 1)-coloring within O(log n) time, with high probability. On the other hand, the best known deterministic algorithm that requires polylogarithmic time employs O(Delta^2) colors. This algorithm was devised in a seminal FOCS'87 paper by Linial \cite{L87}. Its running time is O(log^* n). In the same paper Linial asked whether one can color with significantly less than Delta^2 colors in deterministic polylogarithmic time. By now this question of Linial became one of the most central long-standing open questions in this area. In this paper we answer this question in the affirmative, and devise a deterministic algorithm that employs \Delta^{1 +o(1)} colors, and runs in polylogarithmic time. Specifically, the running time of our algorithm is O(f(Delta) log Delta log n), for an arbitrarily slow-growing function f(Delta) = \omega(1). We can also produce O(Delta^{1 + \eta})-coloring in O(log Delta log n)-time, for an arbitrarily small constant \eta > 0, and O(Delta)-coloring in O(Delta^{\epsilon} log n) time, for an arbitrarily small constant \epsilon > 0.

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 "faster deterministic distributed coloring through recursive list coloring"):
  with members:
    - "towards the locality of vizing s theorem"
    - "distributed approximation algorithms for maximum matching in graphs and hypergraphs"
    - "improved distributed delta coloring"
    - "the complexity of distributed edge coloring with small palettes"
    - "deterministic distributed edge coloring with fewer colors"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "adapting sequential algorithms to the distributed setting"
    - "on derandomizing local distributed algorithms"

Connected through hyperedge HE-3 (induced by source paper "efficient deterministic distributed coloring with small bandwidth"):
  with members:
    - "faster deterministic distributed coloring through recursive list coloring"
    - "on the use of randomness in local distributed graph algorithms"
    - "deterministic distributed dominating set approximation in the congest model"
    - "delta 1 coloring in the congested clique model"
    - "local distributed algorithms in highly dynamic networks"
    - "the complexity of delta 1 coloring incongested clique massively parallel computation and centralized local computation"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "adapting sequential algorithms to the distributed setting"

Connected through hyperedge HE-4 (induced by source paper "an automatic speedup theorem for distributed problems"):
  with members:
    - "lower bounds for maximal matchings and maximal independent sets"
    - "almost global problems in the local model"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"
    - "sublogarithmic distributed algorithms for lov asz local lemma and the complexity hierarchy"
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "lcl problems on grids"

Connected through hyperedge HE-5 (induced by source paper "on the complexity of distributed splitting problems"):
  with members:
    - "improved distributed degree splitting and edge coloring"
    - "sublogarithmic distributed algorithms for lov asz local lemma and the complexity hierarchy"
    - "deterministic distributed edge coloring with fewer colors"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "a time hierarchy theorem for the local model"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"

Connected through hyperedge HE-6 (induced by source paper "graph coloring via degeneracy in streaming and other space conscious models"):
  with members:
    - "simple graph coloring algorithms for congested clique and massively parallel computation"
    - "greedy and local ratio algorithms in the mapreduce model"
    - "dynamic algorithms for graph coloring"
    - "dynamic graph coloring"
    - "simple and near optimal distributed coloring for sparse graphs"
    - "densest subgraph in dynamic graph streams"
    - "local conflict coloring"
    - "hypergraph two coloring in the streaming model"

Connected through hyperedge HE-7 (induced by source paper "distributed backup placement in one round and its applications to maximum matching approximation and self stabilization"):
  with members:
    - "fast distributed backup placement in sparse and dense networks"
    - "faster deterministic distributed coloring through recursive list coloring"
    - "fast distributed backup placement in sparse and dense graphs"
    - "deterministic distributed delta o delta edge coloring and vertex coloring of graphs with bounded diversity"

Connected through hyperedge HE-8 (induced by source paper "distributed computation in node capacitated networks"):
  with members:
    - "distributed symmetry breaking algorithms for congested cliques"
    - "competitive routing in hybrid communication networks"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"
    - "near optimal approximate shortest paths and transshipment in distributed and streaming models"
    - "derandomizing local distributed algorithms under bandwidth restrictions"
    - "algebraic methods in the congested clique"
    - "fast distributed algorithms for connectivity and mst in large graphs"
    - "construction and impromptu repair of an mst in a distributed network with o m communication"

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)