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: "computing environments for reproducibility capturing the whole tale"
  Abstract: The act of sharing scientific knowledge is rapidly evolving away from traditional articles and presentations to the delivery of executable objects that integrate the data and computational details (e.g., scripts and workflows) upon which the findings rely. This envisioned coupling of data and process is essential to advancing science but faces technical and institutional barriers. The Whole Tale project aims to address these barriers by connecting computational, data-intensive research efforts with the larger research process--transforming the knowledge discovery and dissemination process into one where data products are united with research articles to create "living publications" or "tales". The Whole Tale focuses on the full spectrum of science, empowering users in the long tail of science, and power users with demands for access to big data and compute resources. We report here on the design, architecture, and implementation of the Whole Tale environment.

Connected through hyperedge HE-1 (induced by source paper "the rockerverse packages and applications for containerization with r"):
  with members:
    - "terminologies for reproducible research"
    - "an introduction to rocker docker containers for r"
    - "deep learning in neural networks"

Connected through hyperedge HE-2 (induced by source paper "publishing computational research a review of infrastructures for reproducible and transparent scholarly communication"):
  with members:
    - "terminologies for reproducible research"
    - "reproserver making reproducibility easier and less intensive"

Connected through hyperedge HE-3 (induced by source paper "exploring reproducibility and fair principles in data science using ecological niche modeling as a case study"):
  with members:
    - "parsl pervasive parallel programming in python"
    - "bioworkbench a high performance framework for managing and analyzing bioinformatics experiments"

Connected through hyperedge HE-4 (induced by source paper "dlhub model and data serving for science"):
  with members:
    - "tensorflow serving flexible high performance ml serving"
    - "clipper a low latency online prediction serving system"
    - "tensorflow a system for large scale machine learning"
    - "rethinking the inception architecture for computer vision"
    - "caffe convolutional architecture for fast feature embedding"

Connected through hyperedge HE-5 (induced by source paper "enabling end to end machine learning replicability a case study in educational data mining"):
  with members:
    - "deep reinforcement learning that matters"
    - "how deep is knowledge tracing"

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.CY(Computers and Society)