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: "music2dance music driven dance generation using wavenet"
  Abstract: In this paper, we propose a novel system, named as Music2Dance, for addressing the problem of fully automatic music and choreography. Our key idea is to shift the WaveNet, which is originally designed for speech generation, to the human motion synthesis. To balance the big differences between these two tasks, we propose a novel network structure. Typically, being regarded as the local condition for our network, the music features are first extracted by considering the characteristics of rhythms and melody. In addition, the types of dance are then designed as the global condition for the network. Both of the two conditions are utilized to stabilize the network training. Beyond the network architecture, another main challenge is the lack of data. In order to further tackle the obstacle, we have captured the synchronized music-dance pairs by professional dancers, and thus build a high-quality music-dance pair dataset. Experiments have demonstrated the performance of the proposed system and the proposed method can achieve the state-of-the-art results.

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.CV(Computer Vision and Pattern Recognition)