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: "evaluating author name disambiguation for digital libraries a case of dblp"
  Abstract: Abstract Author name ambiguity in a digital library may affect the findings of research that mines authorship data of the library. This study evaluates author name disambiguation in DBLP, a widely used but insufficiently evaluated digital library for its disambiguation performance. In doing so, this study takes a triangulation approach that author name disambiguation for a digital library can be better evaluated when its performance is assessed on multiple labeled datasets with comparison to baselines. Tested on three types of labeled data containing 5000 to 6 M disambiguated names, DBLP is shown to assign author names quite accurately to distinct authors, resulting in pairwise precision, recall, and F1 measures around 0.90 or above overall. DBLP’s author name disambiguation performs well even on large ambiguous name blocks but deficiently on distinguishing authors with the same names. Compared to other disambiguation algorithms, DBLP’s disambiguation performance is quite competitive, possibly due to its hybrid disambiguation approach combining algorithmic disambiguation and manual error correction. A discussion follows on strengths and weaknesses of labeled datasets used in this study for future efforts to evaluate author name disambiguation on a digital library scale.

Connected through hyperedge HE-1 (induced by source paper "author name disambiguation of bibliometric data a comparison of several unsupervised approaches"):
  with members:
    - "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"
    - "exploiting citation networks for large scale author name disambiguation"

Connected through hyperedge HE-2 (induced by source paper "author based analysis of conference versus journal publication in computer science"):
  with members:
    - "evaluating co authorship networks in author name disambiguation for common names"
    - "static and dynamic aspects of scientific collaboration networks"

Connected through hyperedge HE-3 (induced by source paper "the impact of imbalanced training data on machine learning for author name disambiguation"):
  with members:
    - "scaling author name disambiguation with cnf blocking"
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "ethnicity sensitive author disambiguation using semi supervised learning"
    - "smote synthetic minority over sampling technique"

Connected through hyperedge HE-4 (induced by source paper "scale free collaboration networks an author name disambiguation perspective"):
  with members:
    - "distortive effects of initial based name disambiguation on measurements of large scale coauthorship networks"
    - "coauthorship and citation patterns in the physical review"
    - "pagerank for ranking authors in co 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)