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: "exploiting citation networks for large scale author name disambiguation"
  Abstract: We present a novel algorithm and validation method for disambiguating author names in very large bibliographic data sets and apply it to the full Web of Science (WoS) citation index. Our algorithm relies only upon the author and citation graphs available for the whole period covered by the WoS. A pair-wise publication similarity metric, which is based on common co-authors, self-citations, shared references and citations, is established to perform a two-step agglomerative clustering that first connects individual papers and then merges similar clusters. This parameterized model is optimized using an h-index based recall measure, favoring the correct assignment of well-cited publications, and a name-initials-based precision using WoS metadata and cross-referenced Google Scholar profiles. Despite the use of limited metadata, we reach a recall of 87% and a precision of 88% with a preference for researchers with high h-index values. 47 million articles of WoS can be disambiguated on a single machine in less than a day. We develop an h-index distribution model, confirming that the prediction is in excellent agreement with the empirical data, and yielding insight into the utility of the h-index in real academic ranking scenarios.

Connected through hyperedge HE-1 (induced by source paper "author name disambiguation of bibliometric data a comparison of several unsupervised approaches"):
  with members:
    - "evaluating author name disambiguation for digital libraries a case of dblp"
    - "effective unsupervised author disambiguation with relative frequencies"
    - "scale free collaboration networks an author name disambiguation perspective"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"

Connected through hyperedge HE-2 (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"
    - "accuracy of simple initials based methods for author name disambiguation"
    - "coauthorship and citation patterns in the physical review"
    - "a heuristic approach to author name disambiguation in bibliometrics databases for large scale research assessments"

Connected through hyperedge HE-3 (induced by source paper "a network based citation indicator of scientific performance"):
  with members:
    - "a review of the literature on citation impact indicators"
    - "quantifying long term scientific impact"

Connected through hyperedge HE-4 (induced by source paper "research portfolio analysis and topic prominence"):
  with members:
    - "which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge"
    - "analysis of network clustering algorithms and cluster quality metrics at scale"
    - "on full text download and citation distributions in scientific scholarly journals"
    - "a review of the literature on citation impact indicators"
    - "a new methodology for constructing a publication level classification system of science"
    - "the structure and dynamics of co citation clusters a multiple perspective co citation analysis"

Connected through hyperedge HE-5 (induced by source paper "interests diffusion on a semantic multiplex"):
  with members:
    - "interests diffusion in social networks"
    - "accuracy of simple initials based methods for author name disambiguation"
    - "quantifying long term scientific impact"

Connected through hyperedge HE-6 (induced by source paper "ethnicity sensitive author disambiguation using semi supervised learning"):
  with members:
    - "author name disambiguation by using deep neural network"
    - "api design for machine learning software experiences from the scikit learn project"
    - "information resources in high energy physics surveying the present landscape and charting the future course"
    - "separating the articles of authors with the same name"

Connected through hyperedge HE-7 (induced by source paper "interests diffusion in social networks"):
  with members:
    - "accuracy of simple initials based methods for author name disambiguation"
    - "quantifying long term scientific impact"
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

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)