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: "generationmania learning to semantically choreograph"
  Abstract: Beatmania is a rhythm action game where players play the role of a DJ that performs music by pressing specific controller buttons to mix "Keysounds" (audio samples) at the correct time, unlike other rhythm action games such as Dance Dance Revolution. It has an active amateur Chart (Game stage) creation community, though chart authoring is considered a difficult and time consuming task. We present a deep neural network based process for automatically generating Beatmania charts for arbitrary pieces of music. Given a raw audio track of a song, we identify notes according to instrument, and use a neural network to classify each note as playable or non-playable. The final chart is produced by mapping playable notes to controls. We achieve a high level of performance, beating LSTM baselines.

Connected through hyperedge HE-1 (induced by source paper "generating interactive worlds with text"):
  with members:
    - "real time inference in multi sentence tasks with deep pretrained transformers"
    - "learning to speak and act in a fantasy text adventure game"
    - "gender bias in contextualized word embeddings"
    - "what makes a good conversation how controllable attributes affect human judgments"
    - "understanding the origins of bias in word embeddings"
    - "design design inspiration from generative networks"
    - "hierarchical neural story generation"
    - "bert pre training of deep bidirectional transformers for language understanding"

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.SD(Sound)