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: "caching with unknown popularity profiles in small cell networks"
  Abstract: A heterogenous network is considered where the base stations (BSs), small base stations (SBSs) and users are distributed according to independent Poisson point processes (PPPs). We let the SBS nodes to posses high storage capacity and are assumed to form a distributed caching network. Popular data files are stored in the local cache of SBS, so that users can download the desired files from one of the SBS in the vicinity subject to availability. The offloading-loss is captured via a cost function that depends on a random caching strategy proposed in this paper. The cost function depends on the popularity profile, which is, in general, unknown. In this work, the popularity profile is estimated at the BS using the available instantaneous demands from the users in a time interval $[0,\tau]$. This is then used to find an estimate of the cost function from which the optimal random caching strategy is devised. The main results of this work are the following: First it is shown that the waiting time $\tau$ to achieve an $\epsilon>0$ difference between the achieved and optimal costs is finite, provided the user density is greater than a predefined threshold. In this case, $\tau$ is shown to scale as $N^2$, where $N$ is the support of the popularity profile. Secondly, a transfer learning-based approach is proposed to obtain an estimate of the popularity profile used to compute the empirical cost function. A condition is derived under which the proposed transfer learning-based approach performs better than the random caching strategy.

Connected through hyperedge HE-1 (induced by source paper "a learning based approach to caching in heterogenous small cell networks"):
  with members:
    - "analysis on cache enabled wireless heterogeneous networks"
    - "a transfer learning approach for cache enabled wireless networks"
    - "efficient scheduling and power allocation for d2d assisted wireless caching networks"
    - "modeling and analysis of content caching in wireless small cell networks"
    - "hierarchical coded caching"
    - "mobicacher mobility aware content caching in small cell networks"
    - "learning based optimization of cache content in a small cell base station"
    - "fundamental limits of caching in wireless d2d networks"

Connected through hyperedge HE-2 (induced by source paper "analysis and optimization of caching and multicasting in large scale cache enabled heterogeneous wireless networks"):
  with members:
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "caching in wireless small cell networks a storage bandwidth tradeoff"
    - "optimal caching and user association in cache enabled heterogeneous wireless networks"
    - "cache enabled heterogeneous cellular networks comparison and tradeoffs"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "analysis on cache enabled wireless heterogeneous networks"
    - "optimizing mds codes for caching at the edge"
    - "optimal geographic caching in cellular networks"

Connected through hyperedge HE-3 (induced by source paper "joint caching and pricing strategies for popular content in information centric networks"):
  with members:
    - "echo state networks for proactive caching in cloud based radio access networks with mobile users"
    - "wireless device to device caching networks basic principles and system performance"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "a stackelberg game for incentive proactive caching mechanisms in wireless networks"
    - "octopus a cooperative hierarchical caching strategy for cloud radio access networks"
    - "collaborative multi bitrate video caching and processing in mobile edge computing networks"
    - "big data meets telcos a proactive caching perspective"
    - "cooperative hierarchical caching in 5g cloud radio access networks c rans"

Connected through hyperedge HE-4 (induced by source paper "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks"):
  with members:
    - "stochastic content centric multicast scheduling for cache enabled heterogeneous cellular networks"
    - "optimal dynamic multicast scheduling for cache enabled content centric wireless networks"
    - "optimal geographic caching in cellular networks"
    - "modeling and analysis of content caching in wireless small cell networks"
    - "multicast aware caching for small cell networks"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "coding for caches in the plane"
    - "joint resource partitioning and offloading in heterogeneous cellular 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.IT(Information Theory)