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: "benefits of coded placement for networks with heterogeneous cache sizes"
  Abstract: In this work, we study coded placement in caching systems where the users have unequal cache sizes and demonstrate its performance advantage. In particular, we propose a caching scheme with coded placement for three-user systems that outperforms the best caching scheme with uncoded placement. In our proposed scheme, users cache both uncoded and coded pieces of the files, and the coded pieces at the users with large memories are decoded using the unicast/multicast signals intended to serve users with smaller memories. Furthermore, we extend the proposed scheme to larger systems and show the reduction in delivery load with coded placement compared to uncoded placement.

Connected through hyperedge HE-1 (induced by source paper "coded caching with heterogeneous cache sizes and link qualities the two user case"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on the capacity region of a cache aided gaussian broadcast channel with multi layer messages"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "coded caching in a multi server system with random topology"
    - "benefits of cache assignment on degraded broadcast channels"
    - "on the optimality of separation between caching and delivery in general cache networks"
    - "cache aided content delivery over erasure broadcast channels"
    - "caching and coded delivery over gaussian broadcast channels for energy efficiency"

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"
    - "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"
    - "centralized caching with unequal cache sizes"

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"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "coded caching for heterogeneous systems an optimization perspective"
    - "centralized caching with unequal cache sizes"
    - "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"
    - "coded caching with shared caches fundamental limits with uncoded prefetching"
    - "centralized caching with unequal cache sizes"
    - "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)