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: "simple and near optimal distributed coloring for sparse graphs"
  Abstract: Graph coloring is one of the central problems in distributed graph algorithms. Much of the research on this topic has focused on coloring with $\Delta+1$ colors, where $\Delta$ denotes the maximum degree. Using $\Delta+1$ colors may be unsatisfactory in sparse graphs, where not all nodes have such a high degree; it would be more desirable to use a number of colors that improves with sparsity. A standard measure that captures sparsity is arboricity, which is the smallest number of forests into which the edges of the graph can be partitioned. #R##N#We present simple randomized distributed algorithms that, with high probability, color any $n$-node $\alpha$-arboricity graph: #R##N#- using $(2+\varepsilon)\cdot \alpha$ colors, for constant $\varepsilon>0$, in $O(\log n)$ rounds, if $\alpha=\tilde{\Omega}(\log n)$, or #R##N#- using $O(\alpha \log \alpha )$ colors, in $O(\log n)$ rounds, or #R##N#- using $O(\alpha)$ colors, in $O(\log n \cdot \min\{\log\log n,\; \log \alpha\})$ rounds. #R##N#These algorithms are nearly-optimal, as it is known by results of Linial [FOCS'87] and Barenboim and Elkin [PODC'08] that coloring with $\Theta(\alpha)$ colors, or even poly$(\alpha)$ colors, requires $\Omega(\log_{\alpha} n)$ rounds. The previously best-known $O(\log n)$-time result was a deterministic algorithm due to Barenboim and Elkin [PODC'08], which uses $\Theta(\alpha ^2)$ colors. Barenboim and Elkin stated improving this number of colors as an open problem in their Distributed Graph Coloring Book.

Connected through hyperedge HE-1 (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"
    - "densest subgraph in dynamic graph streams"
    - "local conflict coloring"
    - "hypergraph two coloring in the streaming model"
    - "communication steps for parallel query processing"

Connected through hyperedge HE-2 (induced by source paper "property testing of planarity in the congest model"):
  with members:
    - "minor excluded network families admit fast distributed algorithms"
    - "fiding forbidden minors in sublinear time a o n 1 2 o 1 query one sided tester for minor closed properties on bounded degree graphs"
    - "distributed subgraph detection"
    - "testing bounded arboricity"
    - "a sublinear tester for outerplanarity and other forbidden minors with one sided error"
    - "distributed detection of cycles"
    - "faster and simpler distributed algorithms for testing and correcting graph properties in the congest model"
    - "distributed property testing for subgraph freeness revisited"

Connected through hyperedge HE-3 (induced by source paper "distributed minimum vertex coloring and maximum independent set in chordal graphs"):
  with members:
    - "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"
    - "on the locality of some np complete problems"

Connected through hyperedge HE-4 (induced by source paper "distributed delta 1 coloring in sublogarithmic rounds"):
  with members:
    - "the complexity of distributed edge coloring with small palettes"
    - "a time hierarchy theorem for the local model"
    - "polynomial lower bound for distributed graph coloring in a weak local model"
    - "a distributed 2 epsilon approximation for vertex cover in o log delta epsilon log log delta rounds"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "a fast network decomposition algorithm and its applications to constant time distributed computation"
    - "local conflict coloring"
    - "an improved distributed algorithm for maximal independent set"

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.DS(Data Structures and Algorithms)