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: "big models from beijing to the whole china"
  Abstract: This chapter proposes the concept of big model as a novel research paradigm for regional analysis and urban studies. Big models are fine-scale regional/urban analysis/simulation models for a large geographical area. With the widespread use of big/open data, the increased computation capacity, as well as the advanced regional and urban analyzing/modeling methodologies, big models make it possible to overcome the trade-off between geographical scale and simulation resolution. In this chapter, the concept, characteristics, and potential applications of big models have been elaborated. We presented several case studies to illustrate the progress of our research and the application of big models. They include mapping urban areas for all Chinese cities, performing parcel-level urban simulation, and several ongoing research projects. Most of these applications can be adopted across the whole country, and all of them are focusing on a fine-scale level, such as a parcel, a block, or a township (sub-district). It is expected that big models will mark a promising new era for the urban analysis and regional studies in the era of big/open data.

Connected through hyperedge HE-1 (induced by source paper "mapping block level urban areas for all chinese cities"):
  with members:
    - "automated identification and characterization of parcels aicp with openstreetmap and points of interest"

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.OH(Other Computer Science)