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 policy optimization for d2d communications by learning user preference"
  Abstract: Cache-enabled device-to-device (D2D) communications can boost network throughput. By pre-downloading contents to local caches of users, the content requested by a user can be transmitted via D2D links by other users in proximity. Prior works optimize the caching policy at users with the knowledge of content popularity, defined as the probability distribution of request for every file in a library from by all users. However, content popularity can not reflect the interest of each individual user and thus popularity-based caching policy may not fully capture the performance gain introduced by caching. In this paper, we optimize caching policy for cache-enabled D2D by learning user preference, defined as the conditional probability distribution of a user's request for a file given that the user sends a request. We first formulate an optimization problem with given user preference to maximize the offloading probability, which is proved as NP-hard, and then provide a greedy algorithm to find the solution. In order to predict the preference of each individual user, we model the user request behavior by probabilistic latent semantic analysis (pLSA), and then apply expectation maximization (EM) algorithm to estimate the model parameters. Simulation results show that the user preference can be learnt quickly. Compared to the popularity-based caching policy, the offloading gain achieved by the proposed policy can be remarkably improved even with predicted user preference.

Connected through hyperedge HE-1 (induced by source paper "individual preference aware caching policy design in wireless d2d networks"):
  with members:
    - "throughput outage analysis and evaluation of cache aided d2d networks with measured popularity distributions"
    - "modeling and performance analysis of full duplex communications in cache enabled d2d networks"
    - "learning based delay aware caching in wireless d2d caching networks"
    - "high throughput opportunistic cooperative device to device communications with caching"
    - "cache enabled device to device communications offloading gain and energy cost"
    - "on consideration of content preference and sharing willingness in d2d assisted offloading"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "caching at the wireless edge design aspects challenges and future directions"

Connected through hyperedge HE-2 (induced by source paper "caching at base stations with heterogeneous user demands and spatial locality"):
  with members:
    - "when exploiting individual user preference is beneficial for caching at base stations"
    - "optimal cache leasing from a mobile network operator to a content provider"
    - "3gpp inspired hetnet model using poisson cluster process sum product functionals and downlink coverage"
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "understanding performance of edge content caching for mobile video streaming"
    - "wireless caching technical misconceptions and business barriers"
    - "big data caching for networking moving from cloud to edge"
    - "energy efficiency of downlink networks with caching at base stations"

Connected through hyperedge HE-3 (induced by source paper "when exploiting individual user preference is beneficial for caching at base stations"):
  with members:
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "big data caching for networking moving from cloud to edge"
    - "energy efficiency of downlink networks with caching at base stations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "cooperative local caching under heterogeneous file preferences"
    - "optimal geographic caching in cellular networks"
    - "analysis and optimization of caching and multicasting in large scale cache enabled wireless networks"

Connected through hyperedge HE-4 (induced by source paper "energy and delay optimization for cache enabled dense small cell networks"):
  with members:
    - "energy efficient user association and power allocation in millimeter wave based ultra dense networks with energy harvesting base stations"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "power efficient resource allocation for full duplex radio distributed antenna networks"
    - "learning based optimization of cache content in a small cell base station"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "mixed timescale precoding and cache control in cached mimo interference network"

Connected through hyperedge HE-5 (induced by source paper "caching policy for cache enabled d2d communications by learning user preference"):
  with members:
    - "cache enabled device to device communications offloading gain and energy cost"
    - "modeling analysis and optimization of coded caching in small cell networks"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "wireless device to device caching networks basic principles and system performance"
    - "energy efficiency of downlink networks with caching at base stations"
    - "placing dynamic content in caches with small population"
    - "cooperative local caching under heterogeneous file preferences"
    - "a provably efficient online collaborative caching algorithm for multicell coordinated systems"

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)