human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "context aware proactive content caching with service differentiation in wireless networks"):
  Abstract: Content caching in small base stations or wireless infostations is considered to be a suitable approach to improve the efficiency in wireless content delivery. Placing the optimal content into local caches is crucial due to storage limitations, but it requires knowledge about the content popularity distribution, which is often not available in advance. Moreover, local content popularity is subject to fluctuations, since mobile users with different interests connect to the caching entity over time. Which content a user prefers may depend on the user’s context. In this paper, we propose a novel algorithm for context-aware proactive caching. The algorithm learns context-specific content popularity online by regularly observing context information of connected users, updating the cache content and observing cache hits subsequently. We derive a sublinear regret bound, which characterizes the learning speed and proves that our algorithm converges to the optimal cache content placement strategy in terms of maximizing the number of cache hits. Furthermore, our algorithm supports service differentiation by allowing operators of caching entities to prioritize customer groups. Our numerical results confirm that our algorithm outperforms state-of-the-art algorithms in a real world data set, with an increase in the number of cache hits of at least 14%.

Includes members:
  Member "a non stochastic learning approach to energy efficient mobility management":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "adaptive learning based task offloading for vehicular edge computing systems")
  Member "multi armed bandits with application to 5g small cells":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "thirty years of machine learning the road to pareto optimal next generation wireless networks")
  Member "big data meets telcos a proactive caching perspective":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "ultra reliable and low latency wireless communication tail risk and scale")
  Member "distributed online learning in social recommender systems":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "social learning in multi agent multi armed bandits")
  Member "learning based optimization of cache content in a small cell base station":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "optimal scheduling of content caching subject to deadline")
  Member "content level selective offloading in heterogeneous networks multi armed bandit optimization and regret bounds":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "optimal and scalable caching for 5g using reinforcement learning of space time popularities")
  Member "cache enabled small cell networks modeling and tradeoffs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "joint content delivery and caching placement via dynamic programming")
  Member "living on the edge the role of proactive caching in 5g wireless networks":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "aoi delay tradeoff in mobile edge caching with freshness aware content refreshing")

Question: Please tell me which class the source paper 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)