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: "on generalizations of network design problems with degree bounds"
  Abstract: Iterative rounding and relaxation have arguably become the method of choice in dealing with unconstrained and constrained network design problems. In this paper we extend the scope of the iterative relaxation method in two directions: (1) by handling more complex degree constraints in the minimum spanning tree problem (namely, laminar crossing spanning tree), and (2) by incorporating `degree bounds' in other combinatorial optimization problems such as matroid intersection and lattice polyhedra. We give new or improved approximation algorithms, hardness results, and integrality gaps for these problems.

Connected through hyperedge HE-1 (induced by source paper "a spectral approach to network design"):
  with members:
    - "network design for s t effective resistance"
    - "new notions and constructions of sparsification for graphs and hypergraphs"
    - "on a generalization of iterated and randomized rounding"
    - "proportional volume sampling and approximation algorithms for a optimal design"
    - "an sdp based algorithm for linear sized spectral sparsification"
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "an almost linear time algorithm for uniform random spanning tree generation"
    - "graph clustering using effective resistance"

Connected through hyperedge HE-2 (induced by source paper "degree bounded generalized polymatroids and approximating the metric many visits tsp"):
  with members:
    - "time and space optimal algorithms for the many visits tsp"
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "matroidal degree bounded minimum spanning trees"

Connected through hyperedge HE-3 (induced by source paper "approximate multi matroid intersection via iterative refinement"):
  with members:
    - "generalized hypergraph matching via iterated packing and local ratio"
    - "improved approximation for 3 dimensional matching via bounded pathwidth local search"
    - "matroidal degree bounded minimum spanning trees"
    - "submodular function maximization via the multilinear relaxation and contention resolution schemes"
    - "robust and maxmin optimization under matroid and knapsack uncertainty sets"
    - "constrained non monotone submodular maximization offline and secretary algorithms"

Connected through hyperedge HE-4 (induced by source paper "approximating min cost chain constrained spanning trees a reduction from weighted to unweighted problems"):
  with members:
    - "approximation friendly discrepancy rounding"
    - "matroidal degree bounded minimum spanning trees"

Connected through hyperedge HE-5 (induced by source paper "approximation friendly discrepancy rounding"):
  with members:
    - "constructive discrepancy minimization for convex sets"
    - "approximating bin packing within o log opt log log opt bins"
    - "approximating hereditary discrepancy via small width ellipsoids"
    - "constructive discrepancy minimization by walking on the edges"
    - "constructive algorithms for discrepancy minimization"

Connected through hyperedge HE-6 (induced by source paper "k trails recognition complexity and approximations"):
  with members:
    - "matroidal degree bounded minimum spanning trees"

Connected through hyperedge HE-7 (induced by source paper "new approximability results for the robust k median problem"):
  with members:
    - "approximating k median via pseudo approximation"

Connected through hyperedge HE-8 (induced by source paper "iterative rounding approximation algorithms for degree bounded node connectivity network design"):
  with members:
    - "approximating minimum cost edge covers of crossing biset families"
    - "approximating minimum cost k node connected subgraphs via independence free graphs"
    - "approximating subset k connectivity problems"
    - "improved algorithm for degree bounded survivable network design problem"
    - "an o k 3 log n approximation algorithm for vertex connectivity survivable network design"

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)