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: "shortest paths in intersection graphs of unit disks"
  Abstract: Let $G$ be a unit disk graph in the plane defined by $n$ disks whose positions are known. For the case when $G$ is unweighted, we give a simple algorithm to compute a shortest path tree from a given source in $O(n\log n)$ time. For the case when $G$ is weighted, we show that a shortest path tree from a given source can be computed in $O(n^{1+\varepsilon})$ time, improving the previous best time bound of $O(n^{4/3+\varepsilon})$.

Connected through hyperedge HE-1 (induced by source paper "near optimal algorithms for shortest paths in weighted unit disk graphs"):
  with members:
    - "fine grained complexity analysis of two classic tsp variants"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"

Connected through hyperedge HE-2 (induced by source paper "nearly optimal planar k nearest neighbors queries under general distance functions"):
  with members:
    - "dynamic geometric data structures via shallow cuttings"
    - "improved dynamic geodesic nearest neighbor searching in a simple polygon"
    - "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"
    - "on range searching with semialgebraic sets ii"

Connected through hyperedge HE-3 (induced by source paper "edge estimation with independent set oracles"):
  with members:
    - "fine grained reductions from approximate counting to decision"
    - "on approximating the number of k cliques in sublinear time"
    - "on sampling edges almost uniformly"
    - "approximately counting triangles in sublinear time"
    - "a simpler sublinear algorithm for approximating the triangle count"
    - "the power of an example hidden set size approximation using group queries and conditional sampling"
    - "a near optimal sublinear time algorithm for approximating the minimum vertex cover size"

Connected through hyperedge HE-4 (induced by source paper "two optimization problems for unit disks"):
  with members:
    - "semi dynamic connectivity in the plane"
    - "on isolating points using disks"

Connected through hyperedge HE-5 (induced by source paper "the homogeneous broadcast problem in narrow and wide strips"):
  with members:
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"

Connected through hyperedge HE-6 (induced by source paper "dynamic planar voronoi diagrams for general distance functions and their algorithmic applications"):
  with members:
    - "spanners for directed transmission graphs"

Connected through hyperedge HE-7 (induced by source paper "fast marching tree a fast marching sampling based method for optimal motion planning in many dimensions"):
  with members:
    - "asymptotically optimal motion planning using lower bounds on cost"
    - "julia a fast dynamic language for technical computing"
    - "fast set intersection in memory"
    - "sampling based algorithms for optimal motion planning"

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)