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: "a qptas for maximum weight independent set of polygons with polylogarithmically many vertices"
  Abstract: The Maximum Weight Independent Set of Polygons problem is a fundamental problem in computational geometry. Given a set of weighted polygons in the 2-dimensional plane, the goal is to find a set of pairwise non-overlapping polygons with maximum total weight. Due to its wide range of applications, the MWISP problem and its special cases have been extensively studied both in the approximation algorithms and the computational geometry community. Despite a lot of research, its general case is not well-understood. Currently the best known polynomial time algorithm achieves an approximation ratio of n^(epsilon) [Fox and Pach, SODA 2011], and it is not even clear whether the problem is APX-hard. We present a (1+epsilon)-approximation algorithm, assuming that each polygon in the input has at most a polylogarithmic number of vertices. Our algorithm has quasi-polynomial running time. #R##N#We use a recently introduced framework for approximating maximum weight independent set in geometric intersection graphs. The framework has been used to construct a QPTAS in the much simpler case of axis-parallel rectangles. We extend it in two ways, to adapt it to our much more general setting. First, we show that its technical core can be reduced to the case when all input polygons are triangles. Secondly, we replace its key technical ingredient which is a method to partition the plane using only few edges such that the objects stemming from the optimal solution are evenly distributed among the resulting faces and each object is intersected only a few times. Our new procedure for this task is not more complex than the original one, and it can handle the arising difficulties due to the arbitrary angles of the polygons. Note that already this obstacle makes the known analysis for the above framework fail. Also, in general it is not well understood how to handle this difficulty by efficient approximation algorithms.

Connected through hyperedge HE-1 (induced by source paper "quasi polynomial time approximation schemes for packing and covering problems in planar graphs"):
  with members:
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"

Connected through hyperedge HE-2 (induced by source paper "approximation schemes for independent set and sparse subsets of polygons"):
  with members:
    - "on approximating maximum independent set of rectangles"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "shortest path in a polygon using sublinear space"
    - "approximation schemes for partitioning convex decomposition and surface approximation"
    - "a qptas for the base of the number of triangulations of a planar point set"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"

Connected through hyperedge HE-3 (induced by source paper "optimality program in segment and string graphs"):
  with members:
    - "planar graphs as l intersection or l contact graphs"
    - "finding hitting and packing cycles in subexponential time on unit disk graphs"
    - "generalized feedback vertex set problems on bounded treewidth graphs chordality is the key to single exponential parameterized algorithms"
    - "approximation schemes for independent set and sparse subsets of polygons"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "intersection graphs of segments and exists mathbb r"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "the clique problem in ray intersection graphs"

Connected through hyperedge HE-4 (induced by source paper "anchored rectangle and square packings"):
  with members:
    - "approximation schemes for independent set and sparse subsets of polygons"
    - "on approximating maximum independent set of rectangles"
    - "a constant factor approximation for multi covering with disks"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "on the largest empty axis parallel box amidst n points"
    - "the problem of compatible representatives"

Connected through hyperedge HE-5 (induced by source paper "approximation and parameterized algorithms for geometric independent set with shrinking"):
  with members:
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "on approximating maximum independent set of rectangles"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "polynomial kernels for weighted problems"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"

Connected through hyperedge HE-6 (induced by source paper "geometric dominating set and set cover via local search"):
  with members:
    - "approximation algorithms for polynomial expansion and low density graphs"
    - "a ptas for the weighted unit disk cover problem"
    - "analytical approach to parallel repetition"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "the geometry of scheduling"

Connected through hyperedge HE-7 (induced by source paper "on approximating maximum independent set of rectangles"):
  with members:
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"

Connected through hyperedge HE-8 (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"
    - "network sparsification for steiner problems on planar and bounded genus graphs"
    - "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"

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)