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: "generalizing prototype theory a formal quantum framework"
  Abstract: Theories of natural language and concepts have been unable to model the flexibility, creativity, context-dependence, and emergence, exhibited by words, concepts and their combinations. The mathematical formalism of quantum theory has instead been successful in capturing these phenomena such as graded membership, situational meaning, composition of categories, and also more complex decision making situations, which cannot be modeled in traditional probabilistic approaches. We show how a formal quantum approach to concepts and their combinations can provide a powerful extension of prototype theory. We explain how prototypes can interfere in conceptual combinations as a consequence of their contextual interactions, and provide an illustration of this using an intuitive wave-like diagram. This quantum-conceptual approach gives new life to original prototype theory, without however making it a privileged concept theory, as we explain at the end of our paper.

Connected through hyperedge HE-1 (induced by source paper "toward a neuro inspired creative decoder"):
  with members:
    - "novelty detection with gan"
    - "inference suboptimality in variational autoencoders"
    - "unsupervised anomaly detection with generative adversarial networks to guide marker discovery"
    - "can creative adversarial networks generating art by learning about styles and deviating from style norms"
    - "gans trained by a two time scale update rule converge to a nash equilibrium"
    - "infovae information maximizing variational autoencoders"
    - "artgan artwork synthesis with conditional categorical gans"
    - "a neural representation of sketch drawings"

Connected through hyperedge HE-2 (induced by source paper "informing artificial intelligence generative techniques using cognitive theories of human creativity"):
  with members:
    - "deep convolutional networks as models of generalization and blending within visual creativity"
    - "deep generative image models using a laplacian pyramid of adversarial networks"
    - "going deeper with convolutions"
    - "very deep convolutional networks for large scale image recognition"
    - "imagenet large scale visual recognition challenge"
    - "representation learning a review and new perspectives"
    - "incorporating characteristics of human creativity into an evolutionary art algorithm"

Connected through hyperedge HE-3 (induced by source paper "beyond quantum modeling of question order effects and response replicability in psychological measurements"):
  with members:
    - "on the foundations of the brussels operational realistic approach to cognition"
    - "entanglement zoo ii examples in physics and cognition"
    - "entanglement zoo i foundational and structural aspects"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"

Connected through hyperedge HE-4 (induced by source paper "deep convolutional networks as models of generalization and blending within visual creativity"):
  with members:
    - "a neural algorithm of artistic style"
    - "deep generative image models using a laplacian pyramid of adversarial networks"
    - "going deeper with convolutions"
    - "very deep convolutional networks for large scale image recognition"
    - "caffe convolutional architecture for fast feature embedding"
    - "representation learning a review and new perspectives"

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.AI(Artificial Intelligence)