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: "growth rates of modern science a bibliometric analysis based on the number of publications and cited references"
  Abstract: Many studies in information science have looked at the growth of science. In this study, we re-examine the question of the growth of science. To do this we (i) use current data up to publication year 2012 and (ii) analyse it across all disciplines and also separately for the natural sciences and for the medical and health sciences. Furthermore, the data are analysed with an advanced statistical technique - segmented regression analysis - which can identify specific segments with similar growth rates in the history of science. The study is based on two different sets of bibliometric data: (1) The number of publications held as source items in the Web of Science (WoS, Thomson Reuters) per publication year and (2) the number of cited references in the publications of the source items per cited reference year. We have looked at the rate at which science has grown since the mid-1600s. In our analysis of cited references we identified three growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% up to the period between the two world wars and 8 to 9% to 2012.

Connected through hyperedge HE-1 (induced by source paper "citation text generation"):
  with members:
    - "structural scaffolds for citation intent classification in scientific publications"
    - "biobert a pre trained biomedical language representation model for biomedical text mining"
    - "scisummnet a large annotated corpus and content impact models for scientific paper summarization with citation networks"
    - "bertscore evaluating text generation with bert"
    - "defending against neural fake news"
    - "gorc a large contextual citation graph of academic papers"
    - "superglue a stickier benchmark for general purpose language understanding systems"
    - "content based citation recommendation"

Connected through hyperedge HE-2 (induced by source paper "domain independent extraction of scientific concepts from research articles"):
  with members:
    - "structural scaffolds for citation intent classification in scientific publications"
    - "investigating correlations of inter coder agreement and machine annotation performance for historical video data"
    - "hierarchical neural networks for sequential sentence classification in medical scientific abstracts"
    - "multi task identification of entities relations and coreference for scientific knowledge graph construction"
    - "allennlp a deep semantic natural language processing platform"
    - "construction of the literature graph in semantic scholar"
    - "deep bayesian active learning for natural language processing results of a large scale empirical study"
    - "end to end neural coreference resolution"

Connected through hyperedge HE-3 (induced by source paper "citation recommendation approaches and datasets"):
  with members:
    - "content based citation recommendation"
    - "hyperdoc2vec distributed representations of hypertext documents"
    - "core elements in the process of citing publications conceptual overview of the literature"
    - "cross language citation recommendation via hierarchical representation learning on heterogeneous graph"
    - "machine learning vs rules and out of the box vs retrained an evaluation of open source bibliographic reference and citation parsers"
    - "on measuring bias in online information"
    - "all fingers are not equal intensity of references in scientific articles"
    - "finding news citations for wikipedia"

Connected through hyperedge HE-4 (induced by source paper "open research knowledge graph next generation infrastructure for semantic scholarly knowledge"):
  with members:
    - "scibert pretrained contextualized embeddings for scientific text"
    - "earl joint entity and relation linking for question answering over knowledge graphs"
    - "construction of the literature graph in semantic scholar"
    - "rich semantic models and knowledgebases for highly structured scientific communication"
    - "end to end sequence labeling via bi directional lstm cnns crf"
    - "enriching word vectors with subword information"
    - "micropublications a semantic model for claims evidence arguments and annotations in biomedical communications"
    - "supporting structured browsing for full text scientific research reports"

Connected through hyperedge HE-5 (induced by source paper "using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora"):
  with members:
    - "a survey of word embeddings evaluation methods"
    - "drug drug interaction extraction via recurrent neural network with multiple attention layers"
    - "deep learning for extracting protein protein interactions from biomedical literature"
    - "exploiting task oriented resources to learn word embeddings for clinical abbreviation expansion"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-6 (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"
    - "coauthorship and citation patterns in the physical review"
    - "rescaling citations of publications in physics"
    - "towards an explanatory and computational theory of scientific discovery"

Connected through hyperedge HE-7 (induced by source paper "how to identify the roots of broad research topics and fields the introduction of rpys sampling using the example of climate change research"):
  with members:
    - "climate change research in view of bibliometrics"
    - "introducing citedreferencesexplorer crexplorer a program for reference publication year spectroscopy with cited references standardization"
    - "detecting the historical roots of research fields by reference publication year spectroscopy rpys"
    - "referenced publication years spectroscopy applied to imetrics scientometrics journal of informetrics and a relevant subset of jasist"

Connected through hyperedge HE-8 (induced by source paper "reviewernet visualizing citation and authorship relations for finding reviewers"):
  with members:
    - "construction of the literature graph in semantic scholar"
    - "citnetexplorer a new software tool for analyzing and visualizing citation networks"

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)