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: "content aware user clustering and caching in wireless small cell networks"
  Abstract: In this paper, the problem of content-aware user clustering and content caching in wireless small cell networks is studied. In particular, a service delay minimization problem is formulated, aiming at optimally caching contents at the small cell base stations (SCBSs). To solve the optimization problem, we decouple it into two interrelated subproblems. First, a clustering algorithm is proposed grouping users with similar content popularity to associate similar users to the same SCBS, when possible. Second, a reinforcement learning algorithm is proposed to enable each SCBS to learn the popularity distribution of contents requested by its group of users and optimize its caching strategy accordingly. Simulation results show that by correlating the different popularity patterns of different users, the proposed scheme is able to minimize the service delay by %42 and 27%, while achieving a higher offloading gain of up to 280% and 90%, respectively, compared to random caching and unclustered learning schemes.

Connected through hyperedge HE-1 (induced by source paper "cooperative caching in fog radio access networks a graph based approach"):
  with members:
    - "user preference learning based edge caching for fog radio access network"
    - "learning based caching in cloud aided wireless networks"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"
    - "mobility aware caching in d2d networks"
    - "dynamic clustering and user association in wireless small cell networks with social considerations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "message passing for maximum weight independent set"

Connected through hyperedge HE-2 (induced by source paper "on optimal scheduling for joint spatial division and multiplexing approach in fdd massive mimo"):
  with members:
    - "graph theory based approach to users grouping and downlink scheduling in fdd massive mimo"
    - "fdd massive mimo efficient downlink probing and uplink feedback via active channel sparsification"
    - "efficient downlink channel probing and uplink feedback in fdd massive mimo systems"
    - "antenna grouping based feedback compression for fdd based massive mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "energy and spectral efficiency of very large multiuser mimo systems"

Connected through hyperedge HE-3 (induced by source paper "using grouped linear prediction and accelerated reinforcement learning for online content caching"):
  with members:
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "dynamic mobile edge caching with location differentiation"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "a learning based approach to caching in heterogenous small cell networks"
    - "continuous deep q learning with model based acceleration"
    - "a transfer learning approach for cache enabled wireless networks"
    - "learning based optimization of cache content in a small cell base station"
    - "content level selective offloading in heterogeneous networks multi armed bandit optimization and regret bounds"

Connected through hyperedge HE-4 (induced by source paper "graph based cooperative caching in fog ran"):
  with members:
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"
    - "dynamic clustering and user association in wireless small cell networks with social considerations"
    - "cooperative caching and transmission design in cluster centric small cell networks"
    - "content centric sparse multicast beamforming for cache enabled cloud ran"
    - "message passing for maximum weight independent set"

Connected through hyperedge HE-5 (induced by source paper "context aware proactive content caching with service differentiation in wireless networks"):
  with members:
    - "a non stochastic learning approach to energy efficient mobility management"
    - "multi armed bandits with application to 5g small cells"
    - "big data meets telcos a proactive caching perspective"
    - "distributed online learning in social recommender systems"
    - "learning based optimization of cache content in a small cell base station"
    - "content level selective offloading in heterogeneous networks multi armed bandit optimization and regret bounds"
    - "cache enabled small cell networks modeling and tradeoffs"
    - "living on the edge the role of proactive caching in 5g wireless networks"

Connected through hyperedge HE-6 (induced by source paper "learning based caching in cloud aided wireless networks"):
  with members:
    - "placing dynamic content in caches with small population"
    - "learning based optimization of cache content in a small cell base station"
    - "cache enabled small cell networks modeling and tradeoffs"
    - "living on the edge the role of proactive caching in 5g wireless networks"
    - "five disruptive technology directions for 5g"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-7 (induced by source paper "graph theory based approach to users grouping and downlink scheduling in fdd massive mimo"):
  with members:
    - "on optimal scheduling for joint spatial division and multiplexing approach in fdd massive mimo"
    - "antenna grouping based feedback compression for fdd based massive mimo systems"
    - "scaling up mimo opportunities and challenges with very large arrays"
    - "large system analysis of linear precoding in correlated miso broadcast channels under limited feedback"
    - "energy and spectral efficiency of very large multiuser mimo systems"

Connected through hyperedge HE-8 (induced by source paper "proactive edge computing in latency constrained fog networks"):
  with members:
    - "an online secretary framework for fog network formation with minimal latency"
    - "power delay tradeoff in multi user mobile edge computing systems"
    - "efficient multi user computation offloading for mobile edge cloud computing"
    - "matching theory for future wireless networks fundamentals and applications"
    - "living on the edge the role of proactive caching in 5g 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.NI(Networking and Internet Architecture)