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: "can we compute the similarity between surfaces"
  Abstract: A suitable measure for the similarity of shapes represented by parameterized curves or surfaces is the Fr\'echet distance. Whereas efficient algorithms are known for computing the Fr\'echet distance of polygonal curves, the same problem for triangulated surfaces is NP-hard. Furthermore, it remained open whether it is computable at all. Here, using a discrete approximation we show that it is {\em upper semi-computable}, i.e., there is a non-halting Turing machine which produces a monotone decreasing sequence of rationals converging to the result. It follows that the decision problem, whether the Fr\'echet distance of two given surfaces lies below some specified value, is recursively enumerable. #R##N#Furthermore, we show that a relaxed version of the problem, the computation of the {\em weak Fr\'echet distance} can be solved in polynomial time. For this, we give a computable characterization of the weak Fr\'echet distance in a geometric data structure called the {\em free space diagram}.

Connected through hyperedge HE-1 (induced by source paper "computing the frechet distance of trees and graphs of bounded tree width"):
  with members:
    - "an improved isomorphism test for bounded tree width graphs"
    - "fixed parameter tractable canonization and isomorphism test for graphs of bounded treewidth"

Connected through hyperedge HE-2 (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"
    - "fr echet distance for curves revisited"
    - "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"

Connected through hyperedge HE-3 (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"
    - "on range searching with semialgebraic sets ii"

Connected through hyperedge HE-4 (induced by source paper "a fast implementation of near neighbors queries for frechet distance gis cup"):
  with members:
    - "fr echet distance for curves revisited"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "computing the similarity between moving curves"):
  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"

Connected through hyperedge HE-6 (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"
    - "fr echet distance for curves revisited"
    - "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"

Connected through hyperedge HE-7 (induced by source paper "improved approximation for fr echet distance on c packed curves matching conditional lower bounds"):
  with members:
    - "fr echet distance for curves revisited"
    - "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"

Connected through hyperedge HE-8 (induced by source paper "applied similarity problems using frechet distance"):
  with members:
    - "four soviets walk the dog with an application to alt s conjecture"
    - "locally correct frechet matchings"
    - "similarity of polygonal curves in the presence of outliers"
    - "hardness results on curve point set matching with frechet distance"
    - "fr echet distance problems in weighted regions"

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)