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: "fixed parameter approximations for k center problems in low highway dimension graphs"
  Abstract: We consider the $k$-Center problem and some generalizations. For $k$-Center a set of $k$ center vertices needs to be found in a graph $G$ with edge lengths, such that the distance from any vertex of $G$ to its nearest center is minimized. This problem naturally occurs in transportation networks, and therefore we model the inputs as graphs with bounded highway dimension, as proposed by Abraham et al. [SODA 2010]. #R##N#We show both approximation and fixed-parameter hardness results, and how to overcome them using fixed-parameter approximations, where the two paradigms are combined. In particular, we prove that for any $\varepsilon>0$ computing a $(2-\varepsilon)$-approximation is W[2]-hard for parameter $k$ and NP-hard for graphs with highway dimension $O(\log^2 n)$. The latter does not rule out fixed-parameter $(2-\varepsilon)$-approximations for the highway dimension parameter $h$, but implies that such an algorithm must have at least doubly exponential running time in $h$ if it exists, unless the ETH fails. On the positive side, we show how to get below the approximation factor of $2$ by combining the parameters $k$ and $h$: we develop a fixed-parameter $3/2$-approximation with running time $2^{O(kh\log h)}\cdot n^{O(1)}$. Additionally we prove that, unless P=NP, our techniques cannot be used to compute fixed-parameter $(2-\varepsilon)$-approximations for only the parameter $h$. #R##N#We also provide similar fixed-parameter approximations for the weighted $k$-Center and $(k,\mathcal{F})$-Partition problems, which generalize $k$-Center.

Connected through hyperedge HE-1 (induced by source paper "travelling on graphs with small highway dimension"):
  with members:
    - "hierarchy of transportation network parameters and hardness results"
    - "the parameterized hardness of the k center problem in transportation networks"
    - "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs"
    - "structural parameters tight bounds and approximation for k r center"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "solving generalized maximum weight connected subgraph problem for network enrichment analysis"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "efficient activity detection in untrimmed video with max subgraph search"

Connected through hyperedge HE-2 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack"):
  with members:
    - "approximating geometric knapsack via l packings"
    - "on approximating maximum independent set of rectangles"
    - "lower bounds for approximation schemes for closest string"
    - "a fixed parameter tractable approximation scheme for the optimal cut graph of a surface"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "parameterized approximability of maximizing the spread of influence in networks"
    - "parameterized approximation schemes using graph widths"
    - "approximation schemes for maximum weight independent set of rectangles"

Connected through hyperedge HE-3 (induced by source paper "the parameterized hardness of the k center problem in transportation networks"):
  with members:
    - "hierarchy of transportation network parameters and hardness results"
    - "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs"
    - "structural parameters tight bounds and approximation for k r center"
    - "polynomial time approximation schemes for k center and bounded capacity vehicle routing in metrics with bounded highway dimension"
    - "the limited blessing of low dimensionality when 1 1 d is the best possible exponent for d dimensional geometric problems"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "analytical approach to parallel repetition"
    - "improved approximation algorithms for budgeted node weighted steiner problems"

Connected through hyperedge HE-4 (induced by source paper "a 1 varepsilon embedding of low highway dimension graphs into bounded treewidth graphs"):
  with members:
    - "beyond highway dimension small distance labels using tree skeletons"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "cops robbers and threatening skeletons padded decomposition for minor free graphs"
    - "lower bounds for embedding into distributions over excluded minor graph families"

Connected through hyperedge HE-5 (induced by source paper "parameterized approximation algorithms for directed steiner network problems"):
  with members:
    - "complexity of the steiner network problem with respect to the number of terminals"
    - "eth hardness of approximating 2 csps and directed steiner network"
    - "the complexity landscape of fixed parameter directed steiner network problems"
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"
    - "parameterized complexity and approximability of directed odd cycle transversal"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"

Connected through hyperedge HE-6 (induced by source paper "structural parameters tight bounds and approximation for k r center"):
  with members:
    - "parameterized power vertex cover"
    - "parameterized approximation algorithms for some location problems in graphs"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "faster algorithms for vertex partitioning problems parameterized by clique width"
    - "parameterized edge hamiltonicity"
    - "parameterized approximation schemes using graph widths"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-7 (induced by source paper "towards balanced clustering part 1 preliminaries"):
  with members:
    - "on the parameterized complexity of computing balanced partitions in graphs"
    - "towards combinatorial clustering preliminary research survey"
    - "multiset estimates and combinatorial synthesis"
    - "recent advances in graph partitioning"
    - "fast balanced partitioning is hard even on grids and trees"
    - "balanced allocation on graphs"
    - "a complete anytime algorithm for balanced number partitioning"

Connected through hyperedge HE-8 (induced by source paper "parameterized approximation algorithms for some location problems in graphs"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "structural parameters tight bounds and approximation for k r center"
    - "fast approximation algorithms for p centres in large delta hyperbolic graphs"
    - "optimal dynamic program for r domination problems over tree decompositions"

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)