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: "approximating tverberg points in linear time for any fixed dimension"
  Abstract: Let $$P \subseteq \mathbb{R }^d$$P⊆Rd be a $$d$$d-dimensional $$n$$n-point set. A Tverberg partition is a partition of $$P$$P into $$r$$r sets $$P_1, \dots , P_r$$P1,ź,Pr such that the convex hulls $$\hbox {conv}(P_1), \dots , \hbox {conv}(P_r)$$conv(P1),ź,conv(Pr) have non-empty intersection. A point in $$\bigcap _{i=1}^{r} \hbox {conv}(P_i)$$źi=1rconv(Pi) is called a Tverberg point of depth $$r$$r for $$P$$P. A classic result by Tverberg shows that there always exists a Tverberg partition of size $$\lceil n/(d+1) \rceil $$źn/(d+1)ź, but it is not known how to find such a partition in polynomial time. Therefore, approximate solutions are of interest. We describe a deterministic algorithm that finds a Tverberg partition of size $$\lceil n/4(d+1)^3 \rceil $$źn/4(d+1)3ź in time $$d^{O(\log d)} n$$dO(logd)n. This means that for every fixed dimension we can compute an approximate Tverberg point (and hence also an approximate centerpoint) in linear time. Our algorithm is obtained by combining a novel lifting approach with a recent result by Miller and Sheehy (Comput Geom Theory Appl 43(8):647---654, 2010).

Connected through hyperedge HE-1 (induced by source paper "no dimensional tverberg theorems and algorithms"):
  with members:
    - "the complexity of splitting necklaces and bisecting ham sandwiches"
    - "journey to the center of the point set"
    - "the rainbow at the end of the line a ppad formulation of the colorful carath eodory theorem with applications"
    - "computational aspects of the colorful caratheodory theorem"

Connected through hyperedge HE-2 (induced by source paper "computational aspects of the colorful caratheodory theorem"):
  with members:
    - "the rainbow at the end of the line a ppad formulation of the colorful carath eodory theorem with applications"
    - "colorful linear programming nash equilibrium and pivots"
    - "a further generalization of the colourful caratheodory theorem"

Connected through hyperedge HE-3 (induced by source paper "byzantine vector consensus in complete graphs"):
  with members:
    - "iterative approximate byzantine consensus in arbitrary directed graphs"
    - "simple gradecast based algorithms"

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)