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: "quantum entanglement in concept combinations"
  Abstract: Research in the application of quantum structures to cognitive science confirms that these structures quite systematically appear in the dynamics of concepts and their combinations and quantum-based models faithfully represent experimental data of situations where classical approaches are problematical. In this paper, we analyze the data we collected in an experiment on a specific conceptual combination, showing that Bell’s inequalities are violated in the experiment. We present a new refined entanglement scheme to model these data within standard quantum theory rules, where ‘entangled measurements and entangled evolutions’ occur, in addition to the expected ‘entangled states’, and present a full quantum representation in complex Hilbert space of the data. This stronger form of entanglement in measurements and evolutions might have relevant applications in the foundations of quantum theory, as well as in the interpretation of nonlocality tests. It could indeed explain some non-negligible ‘anomalies’ identified in EPR-Bell experiments.

Connected through hyperedge HE-1 (induced by source paper "semantic hilbert space for text representation learning"):
  with members:
    - "unsupervised learning of sentence embeddings using compositional n gram features"
    - "a quantum many body wave function inspired language modeling approach"
    - "supervised learning of universal sentence representations from natural language inference data"
    - "learning distributed representations of sentences from unlabelled data"
    - "bag of tricks for efficient text classification"
    - "skip thought vectors"
    - "learning to understand phrases by embedding the dictionary"
    - "convolutional neural networks for sentence classification"

Connected through hyperedge HE-2 (induced by source paper "cnm an interpretable complex valued network for matching"):
  with members:
    - "anmm ranking short answer texts with attention based neural matching model"
    - "attentive pooling networks"
    - "the mythos of model interpretability"
    - "bag of tricks for efficient text classification"
    - "neural variational inference for text processing"
    - "convolutional neural network architectures for matching natural language sentences"
    - "lstm based deep learning models for non factoid answer selection"
    - "deep learning for answer sentence selection"

Connected through hyperedge HE-3 (induced by source paper "quantum theoretic modeling in computer science a complex hilbert space model for entangled concepts in corpuses of documents"):
  with members:
    - "towards a quantum world wide web"
    - "quantum entanglement in corpuses of documents"
    - "testing quantum models of conjunction fallacy on the world wide web"
    - "on the foundations of the brussels operational realistic approach to cognition"
    - "a probabilistic framework for analysing the compositionality of conceptual combinations"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"
    - "mathematical foundations for a compositional distributional model of meaning"

Connected through hyperedge HE-4 (induced by source paper "measuring conceptual entanglement in collections of documents"):
  with members:
    - "meaning focused and quantum inspired information retrieval"
    - "noun phrase co occurrence statistics for semi automatic semantic lexicon construction"

Connected through hyperedge HE-5 (induced by source paper "towards a quantum world wide web"):
  with members:
    - "context and interference effects in the combinations of natural concepts"
    - "testing quantum models of conjunction fallacy on the world wide web"
    - "on the foundations of the brussels operational realistic approach to cognition"
    - "open system categorical quantum semantics in natural language processing"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"
    - "the quantum challenge in concept theory and natural language processing"
    - "quantum latent semantic analysis"
    - "the pet fish problem on the world wide web"

Connected through hyperedge HE-6 (induced by source paper "the heart of an image quantum superposition and entanglement in visual perception"):
  with members:
    - "towards a quantum world wide web"
    - "context and interference effects in the combinations of natural concepts"
    - "testing quantum models of conjunction fallacy on the world wide web"
    - "new fundamental evidence of non classical structure in the combination of natural concepts"
    - "quantum structure of negation and conjunction in human thought"
    - "quantum structure in cognition and the foundations of human reasoning"
    - "conjunction and negation of natural concepts a quantum theoretic modeling"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"

Connected through hyperedge HE-7 (induced by source paper "quantum entanglement in corpuses of documents"):
  with members:
    - "quantum theoretic modeling in computer science a complex hilbert space model for entangled concepts in corpuses of documents"
    - "towards a quantum world wide web"
    - "the heart of an image quantum superposition and entanglement in visual perception"
    - "on the foundations of the brussels operational realistic approach to cognition"
    - "a probabilistic framework for analysing the compositionality of conceptual combinations"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"
    - "mathematical foundations for a compositional distributional model of meaning"

Connected through hyperedge HE-8 (induced by source paper "investigating non classical correlations between decision fused multi modal documents"):
  with members:
    - "measuring conceptual entanglement in collections of documents"
    - "multimodal machine learning a survey and taxonomy"
    - "very deep convolutional networks for large scale image recognition"
    - "a probabilistic framework for analysing the compositionality of conceptual combinations"

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)