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: "user preference learning based edge caching for fog radio access network"
  Abstract: In this paper, the edge caching problem in fog radio access network (F-RAN) is investigated. By maximizing the overall cache hit rate, the edge caching optimization problem is formulated to find the optimal policy. Content popularity in terms of time and space is considered from the perspective of regional users. We propose an online content popularity prediction algorithm by leveraging the content features and user preferences, and an offline user preference learning algorithm by using the {online gradient descent} (OGD) method and the {follow the (proximally) regularized leader} (FTRL-Proximal) method. Our proposed edge caching policy not only can promptly predict the future content popularity in an online fashion with low complexity, {but also} can track the content popularity with spatial and temporal popularity dynamic in time without delay. Furthermore, we design two learning based edge caching architectures. Moreover, we theoretically derive the upper bound of the popularity prediction error, the lower bound of the cache hit rate, and the regret bound of the overall cache hit rate of our proposed edge caching policy. Simulation results show that the overall cache hit rate of our proposed policy is superior to those of the traditional policies and asymptotically approaches the optimal performance.

Connected through hyperedge HE-1 (induced by source paper "decentralized asynchronous coded caching design and performance analysis in fog radio access networks"):
  with members:
    - "asynchronous coded caching"
    - "decentralized asynchronous coded caching in fog ran"
    - "proactive edge computing in latency constrained fog networks"
    - "on the placement delivery array design for centralized coded caching scheme"
    - "an online secretary framework for fog network formation with minimal latency"
    - "coded caching schemes with reduced subpacketization from linear block codes"
    - "centralized coded caching schemes a hypergraph theoretical approach"
    - "caching and delivery via interference elimination"

Connected through hyperedge HE-2 (induced by source paper "a personalized preference learning framework for caching in mobile networks"):
  with members:
    - "caching at base stations with heterogeneous user demands and spatial locality"
    - "on the effects of subpacketization in content centric mobile networks"
    - "how to cache in mobile hybrid iot networks"
    - "caching policy for cache enabled d2d communications by learning user preference"
    - "pricing and resource allocation via game theory for a small cell video caching system"
    - "information theoretic caching the multi user case"
    - "caching incentive design in wireless d2d networks a stackelberg game approach"
    - "a learning based approach to caching in heterogenous small cell networks"

Connected through hyperedge HE-3 (induced by source paper "mobility aware content preference learning in decentralized caching networks"):
  with members:
    - "decentralized multi task learning based on extreme learning machines"
    - "exploiting mobility in cache assisted d2d networks performance analysis and optimization"
    - "learning to reweight examples for robust deep learning"
    - "mobility and popularity aware coded small cell caching"
    - "caching policy for cache enabled d2d communications by learning user preference"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "optimizing content caching to maximize the density of successful receptions in device to device networking"
    - "effect of user mobility on the performance of device to device networks with distributed caching"

Connected through hyperedge HE-4 (induced by source paper "distributed edge caching via reinforcement learning in fog radio access networks"):
  with members:
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "distributed edge caching in ultra dense fog radio access networks a mean field approach"
    - "ultra dense edge caching under spatio temporal demand and network dynamics"
    - "offloading content with self organizing mobile fogs"
    - "a cmdp based approach for energy efficient power allocation in massive mimo systems"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "fog computing based radio access networks issues and challenges"
    - "placing dynamic content in caches with small population"

Connected through hyperedge HE-5 (induced by source paper "online learning models for content popularity prediction in wireless edge caching"):
  with members:
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "caching policy toward maximal success probability and area spectral efficiency of cache enabled hetnets"
    - "context aware proactive content caching with service differentiation in wireless networks"
    - "a low complexity approach to distributed cooperative caching with geographic constraints"
    - "caching at the wireless edge design aspects challenges and future directions"
    - "interference functionals in poisson networks"
    - "optimization of caching devices with geometric constraints"
    - "optimal geographic caching in cellular networks"

Connected through hyperedge HE-6 (induced by source paper "cooperative caching in fog radio access networks a graph based approach"):
  with members:
    - "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"
    - "content aware user clustering and caching in wireless small cell networks"
    - "message passing for maximum weight independent set"

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)