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: "a faster algorithm for the discrete frechet distance under translation"
  Abstract: The discrete Frechet distance is a useful similarity measure for comparing two sequences of points P = (p1;:::;pm) and Q = (q1;:::;qn). In many applications, the quality of the matching can be improved if we letQ undergo some transformation relative toP . In this paper we consider the problem of finding a translation of Q that brings the discrete Frechet distance between P and Q to a minimum. We devise an algorithm that computes the minimum discrete Frechet distance under translation in R 2 , and runs in O(m 3 n 2 (1 + log(n=m)) log(m + n)) time, assuming m n. This improves a previous algorithm of Jiang et al. [10], which runs inO(m 3 n 3 log(m +n)) time.

Connected through hyperedge HE-1 (induced by source paper "popular conjectures as a barrier for dynamic planar graph algorithms"):
  with members:
    - "improved bounds for shortest paths in dense distance graphs"
    - "on the hardness of partially dynamic graph problems and connections to diameter"
    - "faster online matrix vector multiplication"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "simpler faster and shorter labels for distances in graphs"
    - "sublinear distance labeling for sparse graphs"
    - "fully dynamic matching in bipartite graphs"
    - "powers of tensors and fast matrix multiplication"

Connected through hyperedge HE-2 (induced by source paper "the discrete fr echet gap"):
  with members:
    - "computing the fr e chet distance with shortcuts is np hard"

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)