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: "approximation algorithms for tsp with neighborhoods in the plane"
  Abstract: In the Euclidean TSP with neighborhoods (TSPN), we are given a collection of n regions (neighborhoods) and we seek a shortest tour that visits each region. As a generalization of the classical Euclidean TSP, TSPN is also NP-hard. In this paper, we present new approximation results for the TSPN, including (1) a constant-factor approximation algorithm for the case of arbitrary connected neighborhoods having comparable diameters; and (2) a PTAS for the important special case of disjoint unit disk neighborhoods (or nearly disjoint, nearly-unit disks). Our methods also yield improved approximation ratios for various special classes of neighborhoods, which have previously been studied. Further, we give a linear-time O(1)-approximation algorithm for the case of neighborhoods that are (infinite) straight lines.

Connected through hyperedge HE-1 (induced by source paper "adaptive view planning for aerial 3d reconstruction"):
  with members:
    - "view selection with geometric uncertainty modeling"
    - "plan3d viewpoint and trajectory optimization for aerial multi view stereo reconstruction"
    - "unrealcv connecting computer vision to unreal engine"
    - "orb slam a versatile and accurate monocular slam system"

Connected through hyperedge HE-2 (induced by source paper "a ptas for euclidean tsp with hyperplane neighborhoods"):
  with members:
    - "chasing convex bodies optimally"
    - "competitively chasing convex bodies"
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "nested convex bodies are chaseable"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "the traveling salesman problem for lines balls and planes"
    - "the traveling salesman problem for lines and rays in the plane"

Connected through hyperedge HE-3 (induced by source paper "trajectory design for distributed estimation in uav enabled wireless sensor network"):
  with members:
    - "joint trajectory and communication design for multi uav enabled wireless networks"
    - "mobile unmanned aerial vehicles uavs for energy efficient internet of things communications"
    - "energy efficient data collection in uav enabled wireless sensor network"
    - "energy efficient uav communication with trajectory optimization"
    - "distributed vector estimation for power and bandwidth constrained wireless sensor networks"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-4 (induced by source paper "improved bounds for the traveling salesman problem with neighborhoods on uniform disks"):
  with members:
    - "constant factor approximation for tsp with disks"
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "the traveling salesman problem for lines balls and planes"

Connected through hyperedge HE-5 (induced by source paper "sampling based tour generation of arbitrarily oriented dubins sensor platforms"):
  with members:
    - "informative path planning and mapping with multiple uavs in wind fields"
    - "generalized multiple depot traveling salesmen problem polyhedral study and exact algorithm"

Connected through hyperedge HE-6 (induced by source paper "star routing between vehicle routing and vertex cover"):
  with members:
    - "a simple proof that the n 2 1 puzzle is hard"

Connected through hyperedge HE-7 (induced by source paper "trajectory optimization for completion time minimization in uav enabled multicasting"):
  with members:
    - "on the number and 3d placement of drone base stations in wireless cellular networks"
    - "placement optimization of uav mounted mobile base stations"
    - "cyclical multiple access in uav aided communications a throughput delay tradeoff"
    - "efficient deployment of multiple unmanned aerial vehicles for optimal wireless coverage"
    - "designing and implementing future aerial communication networks"
    - "uav assisted heterogeneous networks for capacity enhancement"
    - "wireless communications with unmanned aerial vehicles opportunities and challenges"

Connected through hyperedge HE-8 (induced by source paper "constant factor approximation for tsp with disks"):
  with members:
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "the traveling salesman problem low dimensionality implies a polynomial time approximation scheme"
    - "the traveling salesman problem for lines balls and planes"
    - "the guillotine approach for tsp with neighborhoods revisited"
    - "violator spaces structure and algorithms"
    - "improved approximation algorithms for geometric set cover"

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)