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: "finding a maximum induced degenerate subgraph faster than 2 n"
  Abstract: In this paper we study the problem of finding a maximum induced d-degenerate subgraph in a given n-vertex graph from the point of view of exact algorithms. We show that for any fixed d one can find a maximum induced d-degenerate subgraph in randomized (2-eps_d)^n n^O(1) time, for some constant eps_d>0 depending only on d. Moreover, our algorithm can be used to sample inclusion-wise maximal induced d-degenerate subgraphs in such a manner that every such subgraph is output with probability at least (2-eps_d)^-n; hence, we prove that their number is bounded by (2-eps_d)^n.

Connected through hyperedge HE-1 (induced by source paper "subexponential time algorithms for finding large induced sparse subgraphs"):
  with members:
    - "deleting vertices to graphs of bounded genus"
    - "polynomial time algorithm for maximum weight independent set on p_6 free graphs"
    - "exact algorithms via monotone local search"
    - "tight running time lower bounds for vertex deletion problems"
    - "hitting forbidden subgraphs in graphs of bounded treewidth"
    - "large induced subgraphs via triangulations and cmso"
    - "largest chordal and interval subgraphs faster than 2 n"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"

Connected through hyperedge HE-2 (induced by source paper "solving target set selection with bounded thresholds faster than 2 n"):
  with members:
    - "target set selection parameterized by clique width and maximum threshold"
    - "target set selection in dense graph classes"

Connected through hyperedge HE-3 (induced by source paper "popular conjectures imply strong lower bounds for dynamic problems"):
  with members:
    - "on problems as hard as cnf sat"
    - "powers of tensors and fast matrix multiplication"
    - "3sum 3xor triangles"
    - "exact weight subgraphs and the k sum conjecture"
    - "faster all pairs shortest paths via circuit complexity"
    - "dynamic approximate all pairs shortest paths breaking the o mn barrier and derandomization"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "deterministic parameterized connected vertex cover"

Connected through hyperedge HE-4 (induced by source paper "largest chordal and interval subgraphs faster than 2 n"):
  with members:
    - "finding induced subgraphs via minimal triangulations"
    - "treewidth computation and extremal combinatorics"

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)