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: "on range searching with semialgebraic sets ii"
  Abstract: Let $P$ be a set of $n$ points in $\R^d$. We present a linear-size data structure for answering range queries on $P$ with constant-complexity semialgebraic sets as ranges, in time close to $O(n^{1-1/d})$. It essentially matches the performance of similar structures for simplex range searching, and, for $d\ge 5$, significantly improves earlier solutions by the first two authors obtained in~1994. This almost settles a long-standing open problem in range searching. #R##N#The data structure is based on the polynomial-partitioning technique of Guth and Katz [arXiv:1011.4105], which shows that for a parameter $r$, $1 < r \le n$, there exists a $d$-variate polynomial $f$ of degree $O(r^{1/d})$ such that each connected component of $\R^d\setminus Z(f)$ contains at most $n/r$ points of $P$, where $Z(f)$ is the zero set of $f$. We present an efficient randomized algorithm for computing such a polynomial partition, which is of independent interest and is likely to have additional applications.

Connected through hyperedge HE-1 (induced by source paper "algorithmic and geometric aspects of data depth with focus on β skeleton depth"):
  with members:
    - "computing the planar β skeleton depth"
    - "approximate data depth revisited"
    - "an optimal algorithm for computing the spherical depth of points in the plane"
    - "planar β skeletons via point location in monotone subdivisions of subset of lunes"
    - "dynamic maintenance of half space depth for points and contours"

Connected through hyperedge HE-2 (induced by source paper "constructive polynomial partitioning for algebraic curves in mathbb r 3 with applications"):
  with members:
    - "an efficient algorithm for generalized polynomial partitioning and its applications"
    - "removing depth order cycles among triangles an efficient algorithm generating triangular fragments"
    - "eliminating depth cycles among triangles in three dimensions"
    - "almost tight bounds for eliminating depth cycles in three dimensions"

Connected through hyperedge HE-3 (induced by source paper "on the stretch factor of polygonal chains"):
  with members:
    - "self approaching paths in simple polygons"
    - "self approaching graphs"
    - "computing a minimum dilation spanning tree is np hard"
    - "beta skeletons have unbounded dilation"

Connected through hyperedge HE-4 (induced by source paper "nearly optimal planar k nearest neighbors queries under general distance functions"):
  with members:
    - "dynamic geometric data structures via shallow cuttings"
    - "improved dynamic geodesic nearest neighbor searching in a simple polygon"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "shortest paths in intersection graphs of unit disks"

Connected through hyperedge HE-5 (induced by source paper "an efficient algorithm for generalized polynomial partitioning and its applications"):
  with members:
    - "decomposing arrangements of hyperplanes vc dimension combinatorial dimension and point location"
    - "eliminating depth cycles among triangles in three dimensions"

Connected through hyperedge HE-6 (induced by source paper "four soviets walk the dog improved bounds for computing the frechet distance"):
  with members:
    - "computing the frechet distance with a retractable leash"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "threesomes degenerates and love triangles"
    - "how to walk your dog in the mountains with no magic leash"
    - "locally correct frechet matchings"
    - "can we compute the similarity between surfaces"

Connected through hyperedge HE-7 (induced by source paper "on separating points by lines"):
  with members:
    - "peeling the grid"
    - "on the expected complexity of random convex hulls"

Connected through hyperedge HE-8 (induced by source paper "eliminating depth cycles among triangles in three dimensions"):
  with members:
    - "removing depth order cycles among triangles an efficient algorithm generating triangular fragments"
    - "almost tight bounds for eliminating depth cycles in three dimensions"

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)