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: "the optimal memory rate trade off for the non uniform centralized caching problem with two files under uncoded placement"
  Abstract: We propose a novel caching strategy for the problem of centralized coded caching with non-uniform demands. Our placement strategy can be applied to an arbitrary number of users and files, and can be easily adapted to the scenario where file popularities are user-specific. The distinguishing feature of the proposed placement strategy is that it allows for equal sub-packetization for all files while requiring the users to allocate more cache to the more popular files. This creates natural broadcasting opportunities in the delivery phase which are simultaneously helpful for users who have requested files of different popularities. For the case of two files, we propose a delivery strategy which meets a natural extension of the existing converse bounds under uncoded placement to non-uniform demands, thereby establishing the optimal expected memory-rate trade-off for the case of two files with arbitrary popularities under the restriction of uncoded placement.

Connected through hyperedge HE-1 (induced by source paper "mobility aware coded storage and delivery"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "delay aware coded caching for mobile users"
    - "novel decentralized coded caching through coded prefetching"
    - "coded caching in a multi server system with random topology"
    - "low subpacketization schemes for coded caching"
    - "optimization of heterogeneous coded caching"
    - "mds coded distributed caching for low delay wireless content delivery"

Connected through hyperedge HE-2 (induced by source paper "full characterization of optimal uncoded placement for the structured clique cover delivery of nonuniform demands"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "adaptive delivery in caching networks"
    - "optimization of heterogeneous coded caching"
    - "structural properties of uncoded placement optimization for coded delivery"
    - "multihop caching aided coded multicasting for the next generation of cellular networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "big data caching for networking moving from cloud to edge"
    - "content caching and delivery over heterogeneous wireless 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)