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: "connected vertex cover for sp_1 p_5 free graphs"
  Abstract: The Connected Vertex Cover problem is to decide if a graph $G$ has a vertex cover of size at most $k$ that induces a connected subgraph of $G$. A graph is $H$-free if it does not contain $H$ as an induced subgraph. We prove that Connected Vertex Cover is polynomial-time solvable for $(sP_1+P_5)$-free graphs for all $s\geq 0$.

Connected through hyperedge HE-1 (induced by source paper "on cycle transversals and their connected variants in the absence of a small linear forest"):
  with members:
    - "subexponential algorithms for variants of homomorphism problem in string graphs"
    - "minimum connected transversals in graphs new hardness results and tractable cases using the price of connectivity"
    - "polynomial time algorithm for maximum weight independent set on p_6 free graphs"
    - "independent feedback vertex set for p_5 free graphs"
    - "the price of connectivity for vertex cover"

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)