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 delta o delta edge coloring and vertex coloring of graphs with bounded diversity"
  Abstract: We consider coloring problems in the distributed message-passing setting. The previously-known deterministic algorithms for edge-coloring employed at least (2Delta - 1) colors, even though any graph admits an edge-coloring with Delta + 1 colors [V64]. Moreover, the previously-known deterministic algorithms that employed at most O(Delta) colors required superlogarithmic time [B15,BE10,BE11,FHK15]. In the current paper we devise deterministic edge-coloring algorithms that employ only Delta + o(Delta) colors, for a very wide family of graphs. Specifically, as long as the arboricity is a = O(Delta^{1 - \epsilon}), for a constant epsilon > 0, our algorithm computes such a coloring within {polylogarithmic} deterministic time. We also devise significantly improved deterministic edge-coloring algorithms for {general graphs} for a very wide range of parameters. Specifically, for any value $\chi$ in the range [4Delta, 2^{o(log Delta)} \cdot Delta], our \chi-edge-coloring algorithm has smaller running time than the best previously-known \chi-edge-coloring algorithms. Our algorithms are actually much more general, since edge-coloring is equivalent to {vertex-coloring of line graphs.} Our method is applicable to vertex-coloring of the family of graphs with {bounded diversity} that contains line graphs, line graphs of hypergraphs, and many other graphs. #R##N#Our results are obtained using a novel technique that connects vertices or edges in a certain way that reduces clique size. The resulting structures, which we call {connectors}, can be colored more efficiently than the original graph. Moreover, the color classes constitute simpler subgraphs that can be colored even more efficiently using appropriate connectors. Hence, we recurse until we obtain sufficiently simple structures that are colored directly. We introduce several types of connectors that are useful for various scenarios.

Connected through hyperedge HE-1 (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 vertex coloring in polylogarithmic time"

Connected through hyperedge HE-2 (induced by source paper "fast distributed backup placement in sparse and dense networks"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "on the locality of some np complete problems"

Connected through hyperedge HE-3 (induced by source paper "deterministic distributed ruling sets of line graphs"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "symmetry breaking in the congest model time and message efficient algorithms for ruling sets"
    - "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"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"

Connected through hyperedge HE-4 (induced by source paper "deterministic distributed edge coloring via hypergraph maximal matching"):
  with members:
    - "improved deterministic distributed matching via rounding"
    - "distributed degree splitting edge coloring and orientations"
    - "new deterministic approximation algorithms for fully dynamic matching"
    - "on the complexity of local distributed graph problems"
    - "local conflict coloring"
    - "an improved distributed algorithm for maximal independent set"
    - "distributed symmetry breaking in hypergraphs"
    - "the locality of distributed symmetry breaking"

Connected through hyperedge HE-5 (induced by source paper "lcl problems on grids"):
  with members:
    - "a time hierarchy theorem for the local model"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "local conflict coloring"
    - "exact bounds for distributed graph colouring"
    - "a lower bound for the distributed lov asz local lemma"
    - "large cuts with local algorithms on triangle free graphs"
    - "intrinsic universality and the computational power of self assembly"

Connected through hyperedge HE-6 (induced by source paper "deterministic distributed edge coloring with fewer colors"):
  with members:
    - "the complexity of distributed edge coloring with small palettes"
    - "improved distributed degree splitting and edge coloring"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"
    - "distributed delta 1 coloring in sublogarithmic rounds"
    - "local conflict coloring"
    - "the locality of distributed symmetry breaking"

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)