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: "a century of science globalization of scientific collaborations citations and innovations"
  Abstract: Progress in science has advanced the development of human society across history, with dramatic revolutions shaped by information theory, genetic cloning, and artificial intelligence, among the many scientific achievements produced in the 20th century. However, the way that science advances itself is much less well-understood. In this work, we study the evolution of scientific development over the past century by presenting an anatomy of 89 million digitalized papers published between 1900 and 2015. We find that science has benefited from the shift from individual work to collaborative effort, with over 90% of the world-leading innovations generated by collaborations in this century, nearly four times higher than they were in the 1900s. We discover that rather than the frequent myopic- and self-referencing that was common in the early 20th century, modern scientists instead tend to look for literature further back and farther around. Finally, we also observe the globalization of scientific development from 1900 to 2015, including 25-fold and 7-fold increases in international collaborations and citations, respectively, as well as a dramatic decline in the dominant accumulation of citations by the US, the UK, and Germany, from ~95% to ~50% over the same period. Our discoveries are meant to serve as a starter for exploring the visionary ways in which science has developed throughout the past century, generating insight into and an impact upon the current scientific innovations and funding policies.

Connected through hyperedge HE-1 (induced by source paper "heterogeneous graph transformer"):
  with members:
    - "layer dependent importance sampling for training deep and large graph convolutional networks"
    - "graph transformer networks"
    - "fast graph representation learning with pytorch geometric"
    - "xlnet generalized autoregressive pretraining for language understanding"
    - "self attention with relative position representations"
    - "fastgcn fast learning with graph convolutional networks via importance sampling"
    - "attention is all you need"
    - "decoupled weight decay regularization"

Connected through hyperedge HE-2 (induced by source paper "a scalable hybrid research paper recommender system for microsoft academic"):
  with members:
    - "content based citation recommendation"
    - "a web scale system for scientific knowledge exploration"
    - "universal language model fine tuning for text classification"
    - "mr dlib recommendations as a service raas for academia"
    - "enriching word vectors with subword information"
    - "distributed representations of sentences and documents"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-3 (induced by source paper "delineating knowledge domains in the scientific literature using visual information"):
  with members:
    - "vitor learning to rank webpages based on visual features"
    - "multidec multi modal clustering of image caption pairs"
    - "a diagram is worth a dozen images"
    - "deep residual learning for image recognition"
    - "very deep convolutional networks for large scale image recognition"
    - "distributed representations of words and phrases and their compositionality"
    - "creation and use of citations in the ads"

Connected through hyperedge HE-4 (induced by source paper "deepinf social influence prediction with deep learning"):
  with members:
    - "network embedding as matrix factorization unifying deepwalk line pte and node2vec"
    - "inductive representation learning on large graphs"
    - "attention is all you need"
    - "representation learning on graphs methods and applications"
    - "instance normalization the missing ingredient for fast stylization"
    - "structural diversity and homophily a study across more than one hundred big networks"
    - "node2vec scalable feature learning for networks"
    - "semi supervised classification with graph convolutional networks"

Connected through hyperedge HE-5 (induced by source paper "the negative effects of citing with a national orientation in terms of recognition national and international citations in natural sciences papers from germany the netherlands and the uk"):
  with members:
    - "who benefits from a country s scientific research"
    - "the geography of references in elite articles which countries contribute to the archives of knowledge"
    - "citations indicators of quality the impact fallacy"
    - "brics countries and scientific excellence a bibliometric analysis of most frequently cited papers"
    - "the european union china and the united states in the top 1 and top 10 layers of most frequently cited publications competition and collaborations"
    - "the use of percentiles and percentile rank classes in the analysis of bibliometric data opportunities and limits"

Connected through hyperedge HE-6 (induced by source paper "direct citations between citing publications"):
  with members:
    - "a multidimensional perspective on the citation impact of scientific publications"
    - "can microsoft academic assess the early citation impact of in press articles a multi discipline exploratory analysis"
    - "field normalized citation impact indicators and the choice of an appropriate counting method"
    - "a review of the literature on citation impact indicators"
    - "weighted citation an indicator of an article s prestige"
    - "popular and or prestigious measures of scholarly esteem"

Connected through hyperedge HE-7 (induced by source paper "exploring the role and nature of interactions between institutes in a local affiliation network"):
  with members:
    - "quantifying long term scientific impact"

Connected through hyperedge HE-8 (induced by source paper "collaboration diversity and scientific impact"):
  with members:
    - "quantifying long term scientific impact"

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)