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: "computing the fr e chet distance with shortcuts is np hard"
  Abstract: We study the shortcut Fr\'{e}chet distance, a natural variant of the Fr\'{e}chet distance, that allows us to take shortcuts from and to any point along one of the curves. The classic Fr\'echet distance is a bottle-neck distance measure and hence quite sensitive to outliers. The shortcut Fr\'{e}chet distance allows us to cut across outliers and hence produces significantly more meaningful results when dealing with real world data. Driemel and Har-Peled recently described approximation algorithms for the restricted case where shortcuts have to start and end at input vertices. We show that, in the general case, the problem of computing the shortcut Fr\'{e}chet distance is NP-hard. This is the first hardness result for a variant of the Fr\'{e}chet distance between two polygonal curves in the plane. We also present two algorithms for the decision problem: a 3-approximation algorithm for the general case and an exact algorithm for the vertex-restricted case. Both algorithms run in O(n^3 log n) time.

Connected through hyperedge HE-1 (induced by source paper "the discrete fr echet gap"):
  with members:
    - "a faster algorithm for the discrete frechet distance under translation"

Connected through hyperedge HE-2 (induced by source paper "on the chain pair simplification problem"):
  with members:
    - "the discrete frechet distance with shortcuts via approximate distance counting and selection techniques"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "locally correct frechet matchings"
    - "jaywalking your dog computing the fr echet distance with shortcuts"

Connected through hyperedge HE-3 (induced by source paper "how to walk your dog in the mountains with no magic leash"):
  with members:
    - "simple curve embedding"
    - "measuring similarity between curves on 2 manifolds via homotopy area"

Connected through hyperedge HE-4 (induced by source paper "the discrete and semi continuous fr echet distance with shortcuts via approximate distance counting and selection techniques"):
  with members:
    - "net and prune a linear time algorithm for euclidean distance problems"
    - "four soviets walk the dog with an application to alt s conjecture"
    - "computing the discrete fr echet distance in subquadratic time"

Connected through hyperedge HE-5 (induced by source paper "similarity of polygonal curves in the presence of outliers"):
  with members:
    - "a note on the unsolvability of the weighted region shortest path problem"
    - "applied similarity problems using frechet distance"

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)