human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "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].

Includes members:
  Member "a distributed minimum cut approximation scheme":
    also connected through other hyperedges:
      (none)
  Member "distributed minimum cut approximation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest")
  Member "can quantum communication speed up distributed computation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "distributed edge connectivity in sublinear time")
  Member "distributed verification and hardness of distributed approximation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest")
  Member "minimum cuts in near linear time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "approximating spectral clustering via sampling a review")

Question: Please tell me which class the source paper 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)