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: "coauthorship and citation patterns in the physical review"
  Abstract: A large number of published studies have examined the properties of either networks of citation among scientific papers or networks of coauthorship among scientists. Here, using an extensive data set covering more than a century of physics papers published in the Physical Review, we study a hybrid coauthorship/citation network that combines the two, which we analyze to gain insight into the correlations and interactions between authorship and citation. Among other things, we investigate the extent to which individuals tend to cite themselves or their collaborators more than others, the extent to which they cite themselves or their collaborators more quickly after publication, and the extent to which they tend to return the favor of a citation from another scientist.

Connected through hyperedge HE-1 (induced by source paper "predicting research trends with semantic and neural networks with an application in quantum physics"):
  with members:
    - "the emergent integrated network structure of scientific research"
    - "a comprehensive survey on graph neural networks"
    - "the landscape of neuroimage ing research"
    - "attention is all you need"
    - "gated graph sequence neural networks"
    - "learning convolutional neural networks for graphs"
    - "quantifying the cognitive extent of science"
    - "inheritance patterns in citation networks reveal scientific memes"

Connected through hyperedge HE-2 (induced by source paper "unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data"):
  with members:
    - "influence of fake news in twitter during the 2016 us presidential election"
    - "early identification of important patents design and validation of citation network metrics"
    - "bias amplification in artificial intelligence systems"
    - "a review of theory and practice in scientometrics"
    - "a review of the literature on citation impact indicators"
    - "methods for the generation of normalized citation impact scores in bibliometrics which method best reflects the judgements of experts"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"
    - "quantifying the influence of scientists and their publications distinguishing between prestige and popularity"

Connected through hyperedge HE-3 (induced by source paper "shorter distances between papers over time are due to more cross field references and increased citation rate to higher impact papers"):
  with members:
    - "prominent but less productive the impact of interdisciplinarity on scientists research"
    - "the operationalization of fields as wos subject categories wcs in evaluative bibliometrics the cases of library and information science and science technology studies"
    - "growth rates of modern science a bibliometric analysis based on the number of publications and cited references"
    - "rescaling citations of publications in physics"
    - "towards an explanatory and computational theory of scientific discovery"

Connected through hyperedge HE-4 (induced by source paper "citations driven by social connections a multi layer representation of coauthorship networks"):
  with members:
    - "global maps of science based on the new web of science categories"

Connected through hyperedge HE-5 (induced by source paper "evaluating author name disambiguation for digital libraries a case of dblp"):
  with members:
    - "homonym detection in curated bibliographies learning from dblp s experience full version"
    - "evaluating co authorship networks in author name disambiguation for common names"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "ethnicity sensitive author disambiguation using semi supervised learning"
    - "growth rates of modern science a bibliometric analysis based on the number of publications and cited references"
    - "exploiting citation networks for large scale author name disambiguation"
    - "accuracy of simple initials based methods for author name disambiguation"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-6 (induced by source paper "estimating network structure from unreliable measurements"):
  with members:
    - "network structure from rich but noisy data"
    - "reconstructing networks with unknown and heterogeneous errors"
    - "structural inference for uncertain networks"
    - "network structure inference a survey motivations methods and applications"
    - "measuring large scale social networks with high resolution"
    - "friendship networks and social status"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-7 (induced by source paper "scale free collaboration networks an author name disambiguation perspective"):
  with members:
    - "evaluating author name disambiguation for digital libraries a case of dblp"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "pagerank for ranking authors in co citation networks"

Connected through hyperedge HE-8 (induced by source paper "identifying the academic rising stars"):
  with members:
    - "modeling and predicting popularity dynamics via reinforced poisson processes"
    - "bpr bayesian personalized ranking from implicit feedback"

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.DL(Digital Libraries)