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: "fr echet distance for curves revisited"
  Abstract: $\renewcommand{\Re}{{\rm I\!\hspace{-0.025em} R}} \newcommand{\eps}{{\varepsilon}} \newcommand{\SetX}{\mathsf{X}} \newcommand{\VorX}[1]{\mathcal{V} \pth{#1}} \newcommand{\Polygon}{\mathsf{P}} \newcommand{\Space}{\overline{\mathsf{m}}} \newcommand{\pth}[2][\!]{#1\left({#2}\right)}$ We revisit the problem of computing Fr\'echet distance between polygonal curves under $L_1$, $L_2$, and $L_\infty$ norms, focusing on discrete Fr\'echet distance, where only distance between vertices is considered. We develop efficient algorithms for two natural classes of curves. In particular, given two polygonal curves of $n$ vertices each, a $\eps$-approximation of their discrete Fr\'echet distance can be computed in roughly $O(n\kappa^3\log n/\eps^3)$ time in three dimensions, if one of the curves is \emph{$\kappa$-bounded}. Previously, only a $\kappa$-approximation algorithm was known. If both curves are the so-called \emph{\backbone~curves}, which are widely used to model protein backbones in molecular biology, we can $\eps$-approximate their Fr\'echet distance in near linear time in two dimensions, and in roughly $O(n^{4/3}\log nm)$ time in three dimensions. In the second part, we propose a pseudo--output-sensitive algorithm for computing Fr\'echet distance exactly. The complexity of the algorithm is a function of a quantity we call the \emph{\bwnumber{}}, which is quadratic in the worst case, but tends to be much smaller in practice.

Connected through hyperedge HE-1 (induced by source paper "tighter connections between formula sat and shaving logs"):
  with members:
    - "subquadratic algorithms for succinct stable matching"
    - "a dichotomy for regular expression membership testing"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "subtree isomorphism revisited"
    - "which regular expression patterns are hard to match"
    - "simulating branching programs with edit distance and friends or a polylog shaved is a lower bound made"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"

Connected through hyperedge HE-2 (induced by source paper "a fast implementation of near neighbors queries for frechet distance gis cup"):
  with members:
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "can we compute the similarity between surfaces"

Connected through hyperedge HE-3 (induced by source paper "approximating dynamic time warping and edit distance for a pair of point sequences"):
  with members:
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "quadratic time hardness of lcs and other sequence similarity measures"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "improved approximation for fr echet distance on c packed curves matching conditional lower bounds"
    - "polylogarithmic approximation for edit distance and the asymmetric query complexity"

Connected through hyperedge HE-4 (induced by source paper "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"):
  with members:
    - "on problems as hard as cnf sat"
    - "threesomes degenerates and love triangles"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "the discrete frechet distance with shortcuts via approximate distance counting and selection techniques"
    - "the discrete and semi continuous fr echet distance with shortcuts via approximate distance counting and selection techniques"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "can we compute the similarity between surfaces"

Connected through hyperedge HE-5 (induced by source paper "improved approximation for fr echet distance on c packed curves matching conditional lower bounds"):
  with members:
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "can we compute the similarity between surfaces"

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)