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 algorithm for bounded degree vertex deletion"
  Abstract: The d-bounded-degree vertex deletion problem, to delete at most k vertices in a given graph to make the maximum degree of the remaining graph at most d, finds applications in computational biology, social network analysis and some others. It can be regarded as a special case of the \((d+2)\)-hitting set problem and generates the famous vertex cover problem. The d-bounded-degree vertex deletion problem is NP-hard for each fixed \(d\ge 0\). In terms of parameterized complexity, the problem parameterized by k is W[2]-hard for unbounded d and fixed-parameter tractable for each fixed \(d\ge 0\). Previously, (randomized) parameterized algorithms for this problem with running time bound \(O^*((d+1)^k)\) are only known for \(d\le 2\). In this paper, we give a uniform parameterized algorithm deterministically solving this problem in \(O^*((d+1)^k)\) time for each \(d\ge 3\). Note that it is an open problem whether the \(d'\)-hitting set problem can be solved in \(O^*((d'-1)^k)\) time for \(d'\ge 3\). Our result answers this challenging open problem affirmatively for a special case. Furthermore, our algorithm also gets a running time bound of \(O^*(3.0645^k)\) for the case that \(d=2\), improving the previous deterministic bound of \(O^*(3.24^k)\).

Connected through hyperedge HE-1 (induced by source paper "on a generalization of nemhauser and trotter s local optimization theorem"):
  with members:
    - "faster parameterized algorithms using linear programming"
    - "hitting forbidden minors approximation and kernelization"
    - "a generalization of nemhauser and trotter s local optimization theorem"

Connected through hyperedge HE-2 (induced by source paper "kernelization and parameterized algorithms for 3 path vertex cover"):
  with members:
    - "on a generalization of nemhauser and trotter s local optimization theorem"
    - "a generalization of nemhauser and trotter s local optimization theorem"

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)