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: "network sparsification for steiner problems on planar and bounded genus graphs"
  Abstract: We propose polynomial-time algorithms that sparsify planar and bounded-genus graphs while preserving optimal or near-optimal solutions to Steiner problems. Our main contribution is a polynomial-time algorithm that, given an unweighted graph $G$ embedded on a surface of genus $g$ and a designated face $f$ bounded by a simple cycle of length $k$, uncovers a set $F \subseteq E(G)$ of size polynomial in $g$ and $k$ that contains an optimal Steiner tree for any set of terminals that is a subset of the vertices of $f$. #R##N#We apply this general theorem to prove that: * given an unweighted graph $G$ embedded on a surface of genus $g$ and a terminal set $S \subseteq V(G)$, one can in polynomial time find a set $F \subseteq E(G)$ that contains an optimal Steiner tree $T$ for $S$ and that has size polynomial in $g$ and $|E(T)|$; * an analogous result holds for an optimal Steiner forest for a set $S$ of terminal pairs; * given an unweighted planar graph $G$ and a terminal set $S \subseteq V(G)$, one can in polynomial time find a set $F \subseteq E(G)$ that contains an optimal (edge) multiway cut $C$ separating $S$ and that has size polynomial in $|C|$. #R##N#In the language of parameterized complexity, these results imply the first polynomial kernels for Steiner Tree and Steiner Forest on planar and bounded-genus graphs (parameterized by the size of the tree and forest, respectively) and for (Edge) Multiway Cut on planar graphs (parameterized by the size of the cutset). Steiner Tree and similar "subset" problems were identified in [Demaine, Hajiaghayi, Computer J., 2008] as important to the quest to widen the reach of the theory of bidimensionality ([Demaine et al, JACM 2005], [Fomin et al, SODA 2010]). Therefore, our results can be seen as a leap forward to achieve this broader goal. #R##N#Additionally, we obtain a weighted variant of our main contribution.

Connected through hyperedge HE-1 (induced by source paper "a relaxation of the directed disjoint paths problem a global congestion metric helps"):
  with members:
    - "dual parameterization of weighted coloring"
    - "the complexity landscape of fixed parameter directed steiner network problems"
    - "routing with congestion in acyclic digraphs"
    - "the directed grid theorem"
    - "the planar directed k vertex disjoint paths problem is fixed parameter tractable"
    - "fixed parameter tractability of multicut in directed acyclic graphs"
    - "parameterized complexity of directed steiner tree on sparse graphs"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-2 (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-3 (induced by source paper "feedback vertex set inspired kernel for chordal vertex deletion"):
  with members:
    - "polylogarithmic approximation algorithms for weighted mathcal f deletion problems"
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "approximation and kernelization for chordal vertex deletion"
    - "bidimensionality and kernels"
    - "unit interval vertex deletion fewer vertices are relevant"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "linear recognition of almost interval graphs"
    - "chordal editing is fixed parameter tractable"

Connected through hyperedge HE-4 (induced by source paper "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"):
  with members:
    - "slightly superexponential parameterized problems"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "on problems as hard as cnf sat"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "a polynomial time bicriteria approximation scheme for planar bisection"
    - "the two edge connectivity survivable network design problem in planar graphs"
    - "known algorithms for edge clique cover are probably optimal"
    - "an efficient polynomial time approximation scheme for steiner forest in planar graphs"

Connected through hyperedge HE-5 (induced by source paper "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"):
  with members:
    - "bidimensionality and geometric graphs"
    - "beyond bidimensionality parameterized subexponential algorithms on directed graphs"
    - "planar subgraph isomorphism revisited"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-6 (induced by source paper "uniform kernelization complexity of hitting forbidden minors"):
  with members:
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "bidimensionality and kernels"
    - "a faster parameterized algorithm for treedepth"
    - "polynomial bounds for the grid minor theorem"
    - "kernelization using structural parameters on sparse graph classes"
    - "kernel bounds for structural parameterizations of pathwidth"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "preprocessing subgraph and minor problems when does a small vertex cover help"

Connected through hyperedge HE-7 (induced by source paper "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"):
  with members:
    - "the limited blessing of low dimensionality when 1 1 d is the best possible exponent for d dimensional geometric problems"
    - "qptas for geometric set cover problems via optimal separators"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "a qptas for maximum weight independent set of polygons with polylogarithmically many vertices"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "kernelization of packing problems"
    - "k gap interval graphs"
    - "parameterized complexity in multiple interval graphs domination partition separation irredundancy"

Connected through hyperedge HE-8 (induced by source paper "linear kernels for outbranching problems in sparse digraphs"):
  with members:
    - "bidimensionality and kernels"
    - "kernelization and sparseness the case of dominating set"
    - "kernelization using structural parameters on sparse graph classes"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"
    - "beyond bidimensionality parameterized subexponential algorithms on directed graphs"
    - "on finding directed trees with many leaves"
    - "on complexity of minimum leaf out branching problem"

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)