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: "centralized caching with unequal cache sizes"
  Abstract: We address a centralized caching problem with unequal cache sizes. We consider a system with a server of files connected through a shared error-free link to a group of cache-enabled users where one subgroup has a larger cache size than the other. We propose an explicit caching scheme for the considered system aimed at minimizing the load of worst-case demands over the shared link. As suggested by numerical evaluations, our scheme improves upon the best existing explicit scheme by having a lower worst-case load; also, our scheme performs within a multiplicative factor of 1.11 from the scheme that can be obtained by solving an optimisation problem in which the number of parameters grows exponentially with the number of users.

Connected through hyperedge HE-1 (induced by source paper "fundamental limits of wireless caching under uneven capacity channels"):
  with members:
    - "subpacketization rate trade off in multi antenna coded caching"
    - "low subpacketization coded caching via projective geometry for broadcast and d2d networks"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "a low complexity cache aided multi antenna content delivery scheme"
    - "full coded caching gains for cache less users"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "cache aided communications with multiple antennas at finite snr"
    - "alpha fair coded caching"

Connected through hyperedge HE-2 (induced by source paper "on the fundamental limits of fog ran cache aided networks with downlink and sidelink communications"):
  with members:
    - "an optimal linear error correcting delivery scheme for coded caching with shared caches"
    - "how much can d2d communication reduce content delivery latency in fog networks with edge caching"
    - "a new design framework on device to device coded caching with optimal rate and significantly less subpacketizations"
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "full coded caching gains for cache less users"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"

Connected through hyperedge HE-3 (induced by source paper "full coded caching gains for cache less users"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "adding transmitters dramatically boosts coded caching gains for finite file sizes"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "achieving spatial scalability for coded caching over wireless networks"
    - "optimization of heterogeneous coded caching"

Connected through hyperedge HE-4 (induced by source paper "novel inter file coded placement and d2d delivery for a cache aided fog ran architecture"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "benefits of coded placement for networks with heterogeneous cache sizes"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "coded caching with heterogeneous cache sizes and link qualities the two user case"
    - "efficient file delivery for coded prefetching in shared cache networks with multiple requests per user"
    - "optimization of heterogeneous coded caching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "noisy broadcast networks with receiver caching"

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)