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: "approximating low dimensional coverage problems"
  Abstract: We study the complexity of the maximum coverage problem, restricted to set systems of bounded VC-dimension. Our main result is a fixed-parameter tractable approximation scheme: an algorithm that outputs a $(1-\eps)$-approximation to the maximum-cardinality union of $k$ sets, in running time $O(f(\eps,k,d)\cdot poly(n))$ where $n$ is the problem size, $d$ is the VC-dimension of the set system, and $f(\eps,k,d)$ is exponential in $(kd/\eps)^c$ for some constant $c$. We complement this positive result by showing that the function $f(\eps,k,d)$ in the running-time bound cannot be replaced by a function depending only on $(\eps,d)$ or on $(k,d)$, under standard complexity assumptions. #R##N#We also present an improved upper bound on the approximation ratio of the greedy algorithm in special cases of the problem, including when the sets have bounded cardinality and when they are two-dimensional halfspaces. Complementing these positive results, we show that when the sets are four-dimensional halfspaces neither the greedy algorithm nor local search is capable of improving the worst-case approximation ratio of $1-1/e$ that the greedy algorithm achieves on arbitrary instances of maximum coverage.

Connected through hyperedge HE-1 (induced by source paper "a polynomial time approximation schema for maximum k vertex cover in bipartite graphs"):
  with members:
    - "a note on max k vertex cover faster fpt as smaller approximate kernel and improved approximation"

Connected through hyperedge HE-2 (induced by source paper "parameterized and approximation complexity of partial vc dimension"):
  with members:
    - "inapproximability of vc dimension and littlestone s dimension"
    - "identification location domination and metric dimension on interval and permutation graphs i bounds"
    - "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity"
    - "on the approximability of partial vc dimension"
    - "identifying codes in hereditary classes of graphs and vc dimension"
    - "hitting set for hypergraphs of low vc dimension"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "parameterizations of test cover with bounded test sizes"

Connected through hyperedge HE-3 (induced by source paper "approximation schemes for geometric coverage problems"):
  with members:
    - "geometric dominating set and set cover via local search"
    - "structured recursive separator decompositions for planar graphs in linear time"
    - "approximation algorithms for maximum independent set of pseudo disks"

Connected through hyperedge HE-4 (induced by source paper "combinatorial approximation of maximum k vertex cover in bipartite graphs within ratio 0 7"):
  with members:
    - "on the approximation of maximum k vertex cover in bipartite graphs"
    - "max cut and the smallest eigenvalue"

Connected through hyperedge HE-5 (induced by source paper "parameterized exact and approximation algorithms for maximum k set cover and related satisfiability problems"):
  with members:
    - "the constant inapproximability of the parameterized dominating set problem"
    - "multi parameter complexity analysis for constrained size graph problems using greediness for parameterization"
    - "multiparameterizations for max k set cover and related satisfiability problems"

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.CG(Computational Geometry)