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: "cache aided coded multicast for correlated sources"
  Abstract: The combination of edge caching and coded multicasting is a promising approach to improve the efficiency of content delivery over cache-aided networks. The global caching gain resulting from content overlap distributed across the network in current solutions is limited due to the increasingly personalized nature of the content consumed by users. In this paper, the cache-aided coded multicast problem is generalized to account for the correlation among the network content by formulating a source compression problem with distributed side information. A correlation-aware achievable scheme is proposed and an upper bound on its performance is derived. It is shown that considerable load reductions can be achieved, compared to state of the art correlation-unaware schemes, when caching and delivery phases specifically account for the correlation among the content files.

Connected through hyperedge HE-1 (induced by source paper "rate memory trade off for caching and delivery of correlated sources"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on coding for cache aided delivery of dynamic correlated content"
    - "broadcast caching networks with two receivers and multiple correlated sources"
    - "optimization of heterogeneous coded caching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "centralized coded caching of correlated contents"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "information theoretic caching the multi user case"

Connected through hyperedge HE-2 (induced by source paper "centralized caching and delivery of correlated contents over a gaussian broadcast channel"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "on coding for cache aided delivery of dynamic correlated content"
    - "rate memory trade off for caching and delivery of correlated sources"
    - "a reinforcement learning approach to proactive caching in wireless networks"
    - "broadcast caching networks with two receivers and multiple correlated sources"
    - "benefits of cache assignment on degraded broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "caching and coded delivery over gaussian broadcast channels for energy efficiency"

Connected through hyperedge HE-3 (induced by source paper "on coding for cache aided delivery of dynamic correlated content"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "centralized coded caching of correlated contents"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "correlation aware distributed caching and coded delivery"
    - "speeding up future video distribution via channel aware caching aided coded multicast"
    - "a rate distortion approach to caching"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "finite length analysis of caching aided coded multicasting"

Connected through hyperedge HE-4 (induced by source paper "updating content in cache aided coded multicast"):
  with members:
    - "centralized coded caching of correlated contents"
    - "coded multicast fronthauling and edge caching for multi connectivity transmission in fog radio access networks"
    - "communication cost for updating linear functions when message updates are sparse connections to maximally recoverable codes"
    - "adaptive caching networks with optimality guarantees"
    - "coded caching with nonuniform demands"
    - "decentralized coded caching attains order optimal memory rate tradeoff"
    - "fundamental limits of caching"
    - "minimum cost multicast over coded packet networks"

Connected through hyperedge HE-5 (induced by source paper "improved converses and gap results for coded caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "centralized caching and delivery of correlated contents over a gaussian broadcast channel"
    - "benefits of cache assignment on degraded broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "physical layer schemes for wireless coded caching"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "noisy broadcast networks with receiver caching"

Connected through hyperedge HE-6 (induced by source paper "optimization of heterogeneous coded caching"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "alpha fair coded caching"
    - "benefits of cache assignment on degraded broadcast channels"
    - "opportunistic content delivery in fading broadcast channels"
    - "cache aided content delivery over erasure broadcast channels"
    - "structural properties of uncoded placement optimization for coded delivery"
    - "noisy broadcast networks with receiver caching"
    - "on the coded caching delivery design over wireless networks"

Connected through hyperedge HE-7 (induced by source paper "broadcast caching networks with two receivers and multiple correlated sources"):
  with members:
    - "the exact rate memory tradeoff for caching with uncoded prefetching"
    - "characterizing the rate memory tradeoff in cache networks within a factor of 2"
    - "centralized coded caching of correlated contents"
    - "rate memory trade off for the two user broadcast caching network with correlated sources"
    - "information theoretic caching the multi user case"
    - "correlation aware distributed caching and coded delivery"
    - "a rate distortion approach to caching"
    - "caching aided coded multicasting with multiple random requests"

Connected through hyperedge HE-8 (induced by source paper "rate memory trade off for the two user broadcast caching network with correlated sources"):
  with members:
    - "information theoretic caching the multi user case"
    - "correlation aware distributed caching and coded delivery"
    - "a rate distortion approach to caching"
    - "caching and delivery via interference elimination"
    - "caching aided coded multicasting with multiple random requests"
    - "order optimal rate of caching and coded multicasting with random demands"
    - "improved lower bounds for coded caching"
    - "fundamental limits of 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)