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: "a parameterized approximation algorithm for the mixed and windy capacitated arc routing problem theory and experiments"
  Abstract: We prove that any polynomial-time α ( n ) -approximation algorithm for the n-vertex metric asymmetric Traveling Salesperson Problem yields a polynomial-time O ( α ( C ) ) -approximation algorithm for the mixed and windy Capacitated Arc Routing Problem, where C is the number of weakly connected components in the subgraph induced by the positive-demand arcs—a small number in many applications. In conjunction with known results, we obtain constant-factor approximations for C ∈ O ( log n ) and O ( log C / log log C ) -approximations in general. Experiments show that our algorithm, together with several heuristic enhancements, outperforms many previous polynomial-time heuristics. Finally, since the solution quality achievable in polynomial time appears to mainly depend on C and since C = 1 in almost all benchmark instances, we propose the Ob benchmark set, simulating cities that are divided into several components by a river. © 2017 Wiley Periodicals, Inc. NETWORKS, 2017

Connected through hyperedge HE-1 (induced by source paper "parameterized algorithms and data reduction for the short secluded s t path problem"):
  with members:
    - "on the computational complexity of length and neighborhood constrained path problems"
    - "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"
    - "finding connected secluded subgraphs"
    - "polynomial kernels for weighted problems"
    - "parameterized complexity of secluded connectivity problems"
    - "route planning in transportation networks"
    - "parameterized complexity of the k arc chinese postman problem"
    - "parameterized complexity of k chinese postman problem"

Connected through hyperedge HE-2 (induced by source paper "polynomial time data reduction for weighted problems beyond additive goal functions"):
  with members:
    - "parameterized algorithms and data reduction for the short secluded s t path problem"
    - "fixed parameter algorithms for maximum profit facility location under matroid constraints"
    - "on approximate data reduction for the rural postman problem theory and experiments"
    - "fair knapsack"
    - "parameterized power vertex cover"
    - "parameterized algorithms for power efficient connected symmetric wireless sensor networks"
    - "new algorithms for minimizing the weighted number of tardy jobs on a single machine"
    - "interval scheduling and colorful independent sets"

Connected through hyperedge HE-3 (induced by source paper "on approximate data reduction for the rural postman problem theory and experiments"):
  with members:
    - "parameterized algorithms and data reduction for the short secluded s t path problem"
    - "revisiting connected vertex cover fpt algorithms and lossy kernels"
    - "polynomial kernels for weighted problems"
    - "constant factor approximations for capacitated arc routing without triangle inequality"
    - "fixed parameter algorithms for minimum cost edge connectivity augmentation"
    - "new inapproximability bounds for tsp"

Connected through hyperedge HE-4 (induced by source paper "parameterized algorithms for power efficiently connecting sensor networks theory and experiments"):
  with members:
    - "on approximate data reduction for the rural postman problem theory and experiments"
    - "parameterizing edge modification problems above lower bounds"
    - "parameterized algorithms for power efficient connected symmetric wireless sensor networks"
    - "minimum power range assignment for symmetric connectivity in sensor networks with two power levels"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "on multiway cut parameterized above lower bounds"

Connected through hyperedge HE-5 (induced by source paper "parameterized algorithms for power efficient connected symmetric wireless sensor networks"):
  with members:
    - "parameterized aspects of triangle enumeration"
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "minimum power range assignment for symmetric connectivity in sensor networks with two power levels"
    - "raising the bar for vertex cover fixed parameter tractability above a higher guarantee"
    - "on multiway cut parameterized above lower bounds"

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)