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: "an optimal time construction of euclidean sparse spanners with tiny diameter"
  Abstract: In STOC'95 \cite{ADMSS95} Arya et al.\ showed that for any set of $n$ points in $\mathbb R^d$, a $(1+\epsilon)$-spanner with diameter at most 2 (respectively, 3) and $O(n \log n)$ edges (resp., $O(n \log \log n)$ edges) can be built in $O(n \log n)$ time. Moreover, it was shown in \cite{ADMSS95,NS07} that for any $k \ge 4$, one can build in $O(n (\log n) 2^k \alpha_k(n))$ time a $(1+\epsilon)$-spanner with diameter at most $2k$ and $O(n 2^k \alpha_k(n))$ edges. The function $\alpha_k$ is the inverse of a certain function at the $\lfloor k/2 \rfloor$th level of the primitive recursive hierarchy, where $\alpha_0(n) = \lceil n/2 \rceil, \alpha_1(n) = \left\lceil \sqrt{n} \right\rceil, \alpha_2(n) = \lceil \log{n} \rceil, \alpha_3(n) = \lceil \log\log{n} \rceil, \alpha_4(n) = \log^* n$, \ldots, etc. It is also known \cite{NS07} that if one allows quadratic time then these bounds can be improved. Specifically, for any $k \ge 4$, a $(1+\epsilon)$-spanner with diameter at most $k$ and $O(n k \alpha_k(n))$ edges can be constructed in $O(n^2)$ time \cite{NS07}. #R##N#A major open problem in this area is whether one can construct within time $O(n \log n + n k \alpha_k(n))$ a $(1+\epsilon)$-spanner with diameter at most $k$ and $O(n k \alpha_k(n))$ edges. In this paper we answer this question in the affirmative. Moreover, in fact, we provide a stronger result. Specifically, we show that for any $k \ge 4$, a $(1+\epsilon)$-spanner with diameter at most $k$ and $O(n \alpha_k(n))$ edges can be built in optimal time $O(n \log n)$. The tradeoff between the diameter and number of edges of our spanners is tight up to constant factors in the entire range of parameters.

Connected through hyperedge HE-1 (induced by source paper "light spanners for snowflake metrics"):
  with members:
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics"
    - "optimal euclidean spanners really short thin and lanky"
    - "light spanners in bounded pathwidth graphs"
    - "shallow low and light trees and tight lower bounds for euclidean spanners"
    - "fast construction of nets in low dimensional metrics and their applications"

Connected through hyperedge HE-2 (induced by source paper "optimal euclidean spanners really short thin and lanky"):
  with members:
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "from hierarchical partitions to hierarchical covers optimal fault tolerant spanners for doubling metrics"
    - "fast constructions of light weight spanners for general graphs"
    - "fault tolerant spanners for doubling metrics better and simpler"
    - "incubators vs zombies fault tolerant short thin and lanky spanners for doubling metrics"
    - "balancing degree diameter and weight in euclidean spanners"
    - "efficient regression in metric spaces via approximate lipschitz extension"
    - "shallow low and light trees and tight lower bounds for euclidean spanners"

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)