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: "brief announcement almost tight approximation distributed algorithm for minimum cut"
  Abstract: In this short paper, we present an improved algorithm for approximating the minimum cut on distributed (CONGEST) networks. Let $\lambda$ be the minimum cut. Our algorithm can compute $\lambda$ exactly in $\tilde{O}((\sqrt{n}+D)\poly(\lambda))$ time, where $n$ is the number of nodes (processors) in the network, $D$ is the network diameter, and $\tilde{O}$ hides $\poly\log n$. By a standard reduction, we can convert this algorithm into a $(1+\epsilon)$-approximation $\tilde{O}((\sqrt{n}+D)/\poly(\epsilon))$-time algorithm. The latter result improves over the previous $(2+\epsilon)$-approximation $\tilde{O}((\sqrt{n}+D)/\poly(\epsilon))$-time algorithm of Ghaffari and Kuhn [DISC 2013]. Due to the lower bound of $\tilde{\Omega}(\sqrt{n}+D)$ by Das Sarma et al. [SICOMP 2013], this running time is {\em tight} up to a $\poly\log n$ factor. Our algorithm is an extremely simple combination of Thorup's tree packing theorem [Combinatorica 2007], Kutten and Peleg's tree partitioning algorithm [J. Algorithms 1998], and Karger's dynamic programming [JACM 2000].

Connected through hyperedge HE-1 (induced by source paper "distributed approximation algorithms for weighted shortest paths"):
  with members:
    - "distributed minimum cut approximation"
    - "distributed random walks"
    - "tight bounds for distributed minimum weight spanning tree verification"
    - "super fast distributed algorithms for metric facility location"
    - "optimal deterministic routing and sorting on the congested clique"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"
    - "notions of connectivity in overlay networks"
    - "efficient computation of distance sketches in distributed networks"

Connected through hyperedge HE-2 (induced by source paper "almost tight distributed minimum cut algorithms"):
  with members:
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "distributed verification and hardness of distributed approximation"
    - "fast computation of small cuts via cycle space sampling"
    - "minimum cuts in near linear time"

Connected through hyperedge HE-3 (induced by source paper "can quantum communication speed up distributed computation"):
  with members:
    - "almost tight distributed minimum cut algorithms"
    - "near optimal distributed approximation of minimum weight connected dominating set"
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "distributed computation of sparse cuts"
    - "distributed connectivity decomposition"
    - "distributed random walks"
    - "distributed verification and hardness of distributed approximation"

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)