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: "pagerank for ranking authors in co citation networks"
  Abstract: Google's PageRank has created a new synergy to information retrieval for a better ranking of Web pages. It ranks documents depending on the topology of the graphs and the weights of the nodes. PageRank has significantly advanced the field of information retrieval and keeps Google ahead of competitors in the search engine market. It has been deployed in bibliometrics to evaluate research impact, yet few of these studies focus on the important impact of the damping factor (d) for ranking purposes. This paper studies how varied damping factors in the PageRank algorithm can provide additional insight into the ranking of authors in an author co-citation network. Furthermore, we propose weighted PageRank algorithms. We select 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculate the ranks of these 108 authors based on PageRank with damping factor ranging from 0.05 to 0.95. In order to test the relationship between these different measures, we compare PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank's with different damping factors and also with different PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index is not significantly correlated with centrality measures.

Connected through hyperedge HE-1 (induced by source paper "assigning credit to scientific datasets using article citation networks"):
  with members:
    - "theory and practice of data citation"
    - "datacite as a novel bibliometric source coverage strengths and limitations"
    - "identifying and improving dataset references in social sciences full texts"
    - "analyzing data citation practices using the data citation index"
    - "applying weighted pagerank to author citation networks"

Connected through hyperedge HE-2 (induced by source paper "go wide go deep quantifying the impact of scientific papers through influence dispersion trees"):
  with members:
    - "cascading citation expansion"
    - "relay linking models for prominence and obsolescence in evolving networks"
    - "all fingers are not equal intensity of references in scientific articles"
    - "measuring academic influence not all citations are equal"
    - "can cascades be predicted"
    - "coverage and adoption of altmetrics sources in the bibliometric community"

Connected through hyperedge HE-3 (induced by source paper "deep learning long range information in undirected graphs with wave networks"):
  with members:
    - "relational inductive biases deep learning and graph networks"
    - "neural message passing for quantum chemistry"
    - "geometric deep learning going beyond euclidean data"
    - "gated graph sequence neural networks"
    - "node2vec scalable feature learning for networks"
    - "semi supervised classification with graph convolutional networks"
    - "learning convolutional neural networks for graphs"
    - "v net fully convolutional neural networks for volumetric medical image segmentation"

Connected through hyperedge HE-4 (induced by source paper "biblioranking fundamental physics"):
  with members:
    - "growing complex network of citations of scientific papers modeling and measurements"
    - "usage bibliometrics as a tool to measure research activity"
    - "constructing bibliometric networks a comparison between full and fractional counting"
    - "full and fractional counting in bibliometric networks"
    - "regression for citation data an evaluation of different methods"
    - "quantifying long term scientific impact"
    - "normalization at the field level fractional counting of citations"
    - "how to evaluate universities in terms of their relative citation impacts fractional counting of citations and the normalization of differences among disciplines"

Connected through hyperedge HE-5 (induced by source paper "measuring the academic reputation through citation networks via pagerank"):
  with members:
    - "a critical comparative analysis of five world university rankings"
    - "wikipedia ranking of world universities"
    - "on the causes of subject specific citation rates in web of science"
    - "on the internal dynamics of the shanghai ranking"
    - "the leiden ranking 2011 2012 data collection indicators and interpretation"
    - "big macs and eigenfactor scores don t let correlation coefficients fool you"

Connected through hyperedge HE-6 (induced by source paper "an ai aid to the editors exploring the possibility of an ai assisted article classification system"):
  with members:
    - "influence of reviewer interaction network on long term citations a case study of the scientific peer review system of the journal of high energy physics"
    - "can scientific impact be predicted"
    - "will this paper increase your h index scientific impact prediction"
    - "distributed representations of words and phrases and their compositionality"

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"
    - "coauthorship and citation patterns in the physical review"

Connected through hyperedge HE-8 (induced by source paper "using network science and text analytics to produce surveys in a scientific topic"):
  with members:
    - "structure and inference in annotated networks"
    - "a complex network approach to stylometry"
    - "comparing the topological properties of real and artificially generated scientific manuscripts"
    - "aggregated journal journal citation relations in scopus and web of science matched and compared in terms of networks maps and interactive overlays"
    - "citnetexplorer a new software tool for analyzing and visualizing citation networks"
    - "interactive overlays of journals and the measurement of interdisciplinarity on the basis of aggregated journal journal citations"
    - "lexrank graph based lexical centrality as salience in text summarization"
    - "machine learning in automated text categorization"

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)