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: "qptas for geometric set cover problems via optimal separators"
  Abstract: Weighted geometric set-cover problems arise naturally in several geometric and non-geometric settings (e.g. the breakthrough of Bansal-Pruhs (FOCS 2010) reduces a wide class of machine scheduling problems to weighted geometric set-cover). More than two decades of research has succeeded in settling the $(1+\epsilon)$-approximability status for most geometric set-cover problems, except for four basic scenarios which are still lacking. One is that of weighted disks in the plane for which, after a series of papers, Varadarajan (STOC 2010) presented a clever \emph{quasi-sampling} technique, which together with improvements by Chan \etal~(SODA 2012), yielded a $O(1)$-approximation algorithm. Even for the unweighted case, a PTAS for a fundamental class of objects called pseudodisks (which includes disks, unit-height rectangles, translates of convex sets etc.) is currently unknown. Another fundamental case is weighted halfspaces in $\Re^3$, for which a PTAS is currently lacking. In this paper, we present a QPTAS for all of these remaining problems. Our results are based on the separator framework of Adamaszek-Wiese (FOCS 2013, SODA 2014), who recently obtained a QPTAS for weighted independent set of polygonal regions. This rules out the possibility that these problems are APX-hard, assuming $\textbf{NP} \nsubseteq \textbf{DTIME}(2^{polylog(n)})$. Together with the recent work of Chan-Grant (CGTA 2014), this settles the APX-hardness status for all natural geometric set-cover problems.

Connected through hyperedge HE-1 (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"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "a qptas for maximum weight independent set of polygons with polylogarithmically many vertices"
    - "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"

Connected through hyperedge HE-2 (induced by source paper "approximation algorithms for polynomial expansion and low density graphs"):
  with members:
    - "approximation algorithms for low density graphs"
    - "simple ptas s for families of graphs excluding a minor"
    - "net and prune a linear time algorithm for euclidean distance problems"
    - "quasi polynomial time approximation scheme for sparse subsets of polygons"
    - "deciding first order properties of nowhere dense graphs"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "a simple proof of the existence of a planar separator"

Connected through hyperedge HE-3 (induced by source paper "approximation algorithms for low density graphs"):
  with members:
    - "simple ptas s for families of graphs excluding a minor"
    - "net and prune a linear time algorithm for euclidean distance 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"
    - "a simple proof of the existence of a planar separator"
    - "being fat and friendly is not enough"
    - "improved approximation algorithms for geometric set cover"

Connected through hyperedge HE-4 (induced by source paper "a ptas for the weighted unit disk cover problem"):
  with members:
    - "tighter estimates for epsilon nets for disks"
    - "epsilon nets for halfspaces revisited"
    - "analytical approach to parallel repetition"
    - "approximation schemes for maximum weight independent set of rectangles"
    - "the geometry of scheduling"
    - "improved approximation algorithms for geometric set cover"

Connected through hyperedge HE-5 (induced by source paper "approximation schemes for partitioning convex decomposition and surface approximation"):
  with members:
    - "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"
    - "computing homotopic shortest paths efficiently"

Connected through hyperedge HE-6 (induced by source paper "quasi polynomial time approximation scheme for sparse subsets of polygons"):
  with members:
    - "approximation schemes for maximum weight independent set of rectangles"
    - "approximation algorithms for maximum independent set of pseudo disks"
    - "a simple proof of the existence of a planar separator"
    - "geometric packing under non uniform constraints"
    - "being fat and friendly is not enough"

Connected through hyperedge HE-7 (induced by source paper "on the approximability of covering points by lines and related problems"):
  with members:
    - "point line cover the easy kernel is essentially tight"
    - "tight lower bounds for the size of epsilon nets"
    - "improved approximation algorithms for geometric set cover"
    - "optimal covering tours with turn costs"

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)