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: "a probabilistic framework for analysing the compositionality of conceptual combinations"
  Abstract: Conceptual combination performs a fundamental role in creating the broad range of compound phrases utilized in everyday language. This article provides a novel probabilistic framework for assessing whether the semantics of conceptual combinations are compositional, and so can be considered as a function of the semantics of the constituent concepts, or not. While the systematicity and productivity of language provide a strong argument in favor of assuming compositionality, this very assumption is still regularly questioned in both cognitive science and philosophy. Additionally, the principle of semantic compositionality is underspecified, which means that notions of both "strong" and "weak" compositionality appear in the literature. Rather than adjudicating between different grades of compositionality, the framework presented here contributes formal methods for determining a clear dividing line between compositional and non-compositional semantics. In addition, we suggest that the distinction between these is contextually sensitive. Utilizing formal frameworks developed for analyzing composite systems in quantum theory, we present two methods that allow the semantics of conceptual combinations to be classified as "compositional" or "non-compositional". Compositionality is first formalised by factorising the joint probability distribution modeling the combination, where the terms in the factorisation correspond to individual concepts. This leads to the necessary and sufficient condition for the joint probability distribution to exist. A failure to meet this condition implies that the underlying concepts cannot be modeled in a single probability space when considering their combination, and the combination is thus deemed "non-compositional". The formal analysis methods are demonstrated by applying them to an empirical study of twenty-four non-lexicalised conceptual combinations.

Connected through hyperedge HE-1 (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"
    - "quantum entanglement in concept 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-2 (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"
    - "quantum entanglement in concept 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-3 (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"
    - "quantum entanglement in concept combinations"

Connected through hyperedge HE-4 (induced by source paper "an evidential markov decision making model"):
  with members:
    - "a new belief markov chain model and its application in inventory prediction"
    - "a note on the measure of discord"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"

Connected through hyperedge HE-5 (induced by source paper "modelling contextuality by probabilistic programs with hypergraph semantics"):
  with members:
    - "quantum and concept combination entangled measurements and prototype theory"
    - "quantum entanglement in concept combinations"

Connected through hyperedge HE-6 (induced by source paper "a quantum dynamic belief decision making model"):
  with members:
    - "concepts and their dynamics a quantum theoretic modeling of human thought"

Connected through hyperedge HE-7 (induced by source paper "a compositional explanation of the pet fish phenomenon"):
  with members:
    - "open system categorical quantum semantics in natural language processing"
    - "reasoning about meaning in natural language with compact closed categories and frobenius algebras"
    - "the frobenius anatomy of word meanings i subject and object relative pronouns"
    - "concepts and their dynamics a quantum theoretic modeling of human thought"
    - "mathematical foundations for a compositional distributional model of meaning"

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.CL(Computation and Language)