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 "polylogarithmic approximation algorithm for k connected directed steiner tree on quasi bipartite graphs"):
  Abstract: In the k-Connected Directed Steiner Tree problem (k-DST), we are given a directed graph G=(V, E) with edge (or vertex) costs, a root vertex r, a set of q terminals T, and a connectivity requirement k>0; the goal is to find a minimum-cost subgraph H of G such that H has k internally disjoint paths from the root r to each terminal t . The k-DST problem is a natural generalization of the classical Directed Steiner Tree problem (DST) in the fault-tolerant setting in which the solution subgraph is required to have an r,t-path, for every terminal t, even after removing k-1 edges or vertices. #R##N#Despite being a classical problem, there are not many positive results on the problem, especially for the case k >= 3. In this paper, we will present an O(log k log q)-approximation algorithm for k-DST when an input graph is quasi-bipartite, i.e., when there is no edge joining two non-terminal vertices. To the best of our knowledge, our algorithm is the only known non-trivial approximation algorithm for k-DST, for k >= 3, that runs in polynomial-time regardless of the structure of the optimal solution. In addition, our algorithm is tight for every constant k, due to the hardness result inherited from the Set Cover problem.

Includes members:
  Member "a quasi polynomial algorithm for submodular tree orienteering in directed graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tight approximation for variants of directed steiner tree via state tree decomposition and linear programming rounding")
  Member "a logarithmic integrality gap bound for directed steiner tree in quasi bipartite graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "submodular matroid secretary problem with shortlists")
  Member "approximating directed steiner problems via tree embedding":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "tight approximation for variants of directed steiner tree via state tree decomposition and linear programming rounding")
  Member "analytical approach to parallel repetition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "an improved algorithm for dynamic set cover")
  Member "parameters of two prover one round game and the hardness of connectivity problems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "network design for s t effective resistance")
  Member "an improved approximation algorithm for the minimum cost subset k connected subgraph problem":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "node weighted network design in planar and minor closed families of graphs")
  Member "approximating subset k connectivity problems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "multi level graph sketches via single level solvers")
  Member "directed steiner tree and the lasserre hierarchy":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "lasserre integrality gaps for graph spanners and related problems")

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)