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: "regnet region based grasp network for single shot grasp detection in point clouds"
  Abstract: Learning a robust representation of robotic grasping from point clouds is a crucial but challenging task. In this paper, we propose an end-to-end single-shot grasp detection network taking one single-view point cloud as input for parallel grippers. Our network includes three stages: Score Network (SN), Grasp Region Network (GRN) and Refine Network (RN). Specifically, SN is designed to select positive points with high grasp confidence. GRN coarsely generates a set of grasp proposals on selected positive points. Finally, RN refines the detected grasps based on local grasp features. To further improve the performance, we propose a grasp anchor mechanism, in which grasp anchors are introduced to generate grasp proposal. Moreover, we contribute a large-scale grasp dataset without manual annotation based on the YCB dataset. Experiments show that our method significantly outperforms several successful point-cloud based grasp detection methods including GPD, PointnetGPD, as well as S$^4$G.

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.RO(Robotics)