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: "an end to end network slicing framework for 5g wireless communication systems"
  Abstract: Wireless industry nowadays is facing two major challenges: 1) how to support the vertical industry applications so that to expand the wireless industry market and 2) how to further enhance device capability and user experience. In this paper, we propose a technology framework to address these challenges. The proposed technology framework is based on end-to-end vertical and horizontal slicing, where vertical slicing enables vertical industry and services and horizontal slicing improves system capacity and user experience. The technology development on vertical slicing has already started in late 4G and early 5G and is mostly focused on slicing the core network. We envision this trend to continue with the development of vertical slicing in the radio access network and the air interface. Moving beyond vertical slicing, we propose to horizontally slice the computation and communication resources to form virtual computation platforms for solving the network capacity scaling problem and enhancing device capability and user experience. In this paper, we explain the concept of vertical and horizontal slicing and illustrate the slicing techniques in the air interface, the radio access network, the core network and the computation platform. This paper aims to initiate the discussion on the long-range technology roadmap and spur development on the solutions for E2E network slicing in 5G and beyond.

Connected through hyperedge HE-1 (induced by source paper "5g network slicing using sdn and nfv a survey of taxonomy architectures and future challenges"):
  with members:
    - "a novel qoe aware sdn enabled nfv based management architecture for future multimedia applications on 5g systems"
    - "securing fog to things environment using intrusion detection system based on ensemble learning"
    - "wireless network slicing generalized kelly mechanism based resource allocation"
    - "resource orchestration of 5g transport networks for vertical industries"
    - "slice as an evolutionary service genetic optimization for inter slice resource management in 5g networks"
    - "network slicing based 5g and future mobile networks mobility resource management and challenges"
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"
    - "a survey on mobile edge computing the communication perspective"

Connected through hyperedge HE-2 (induced by source paper "proactive allocation as defense for malicious co residency in sliced 5g core networks"):
  with members:
    - "towards secure slicing using slice isolation to mitigate ddos attacks on 5g core network slices"
    - "optimal slice allocation in 5g core networks"
    - "network slicing to enable scalability and flexibility in 5g mobile networks"

Connected through hyperedge HE-3 (induced by source paper "a survey on resource allocation in vehicular networks"):
  with members:
    - "toward intelligent vehicular networks a machine learning framework"
    - "radio resource allocation for reliable out of coverage v2v communications"
    - "deep reinforcement learning for resource allocation in v2v communications"
    - "deep reinforcement learning a brief survey"
    - "vehicular communications a network layer perspective"
    - "reinforcement learning for resource provisioning in the vehicular cloud"
    - "coding based data broadcasting for time critical applications with rate adaptation"
    - "dynamic resource allocation in cognitive radio networks"

Connected through hyperedge HE-4 (induced by source paper "expanded combinatorial designs as tool to model network slicing in 5g"):
  with members:
    - "slice as an evolutionary service genetic optimization for inter slice resource management in 5g networks"
    - "balanced xor ed coding"
    - "families of optimal binary non mds erasure codes"

Connected through hyperedge HE-5 (induced by source paper "optimal slice allocation in 5g core networks"):
  with members:
    - "onets online network slice broker from theory to practice"
    - "provisioning low latency resilient mobile edge clouds for 5g"

Connected through hyperedge HE-6 (induced by source paper "network slicing in 5g mobile communication architecture profit modeling and challenges"):
  with members:
    - "network slicing for 5g with sdn nfv concepts architectures and challenges"

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.NI(Networking and Internet Architecture)