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: "online edge caching and wireless delivery in fog aided networks with dynamic content popularity"
  Abstract: Fog Radio Access Network (F-RAN) architectures can leverage both cloud processing and edge caching for content delivery to the users. To this end, F-RAN utilizes caches at the edge nodes (ENs) and fronthaul links connecting a cloud processor to ENs. Assuming time-invariant content popularity, existing information-theoretic analyses of content delivery in F-RANs rely on offline caching with separate content placement and delivery phases. In contrast, this work focuses on the scenario in which the set of popular content is time-varying, hence necessitating the online replenishment of the ENs' caches along with the delivery of the requested files. The analysis is centered on the characterization of the long-term Normalized Delivery Time (NDT), which captures the temporal dependence of the coding latencies accrued across multiple time slots in the high signal-to-noise ratio regime. Online edge caching and delivery schemes based on reactive and proactive caching principles are investigated for both serial and pipelined transmission modes across fronthaul and edge segments. Analytical results demonstrate that, in the presence of a time-varying content popularity, the rate of fronthaul links sets a fundamental limit to the long-term NDT of F-RAN system. Analytical results are further verified by numerical simulation, yielding important design insights.

Connected through hyperedge HE-1 (induced by source paper "content caching and delivery in wireless radio access networks"):
  with members:
    - "mobility aware coded storage and delivery"
    - "cache aided fog radio access networks with partial connectivity"
    - "a converse bound for cache aided interference networks"
    - "treating content delivery in multi antenna coded caching as general message sets transmission a dof region perspective"
    - "fundamental limits of decentralized caching in fog rans with wireless fronthaul"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "decentralized coded caching in wireless networks trade off between storage and latency"
    - "cache aided content delivery over erasure broadcast channels"

Connected through hyperedge HE-2 (induced by source paper "the study of dynamic caching via state transition field the case of time invariant popularity"):
  with members:
    - "content popularity prediction towards location aware mobile edge caching"
    - "using grouped linear prediction and accelerated reinforcement learning for online content caching"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "caching with time varying popularity profiles a learning theoretic perspective"
    - "enabling edge cooperation in tactile internet via 3c resource sharing"
    - "air ground integrated vehicular network slicing with content pushing and caching"
    - "a reinforcement learning approach to proactive caching in wireless networks"
    - "context aware proactive content caching with service differentiation in wireless networks"

Connected through hyperedge HE-3 (induced by source paper "user preference aware lossless data compression at the edge"):
  with members:
    - "deep learning for joint source channel coding of text"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "edge caching wireless networks performance analysis and optimization"
    - "context aware small cell networks how social metrics improve wireless resource allocation"

Connected through hyperedge HE-4 (induced by source paper "the role of caching in future communication systems and networks"):
  with members:
    - "classifying flows and buffer state for youtube s http adaptive streaming service in mobile networks"
    - "optimal and scalable caching for 5g using reinforcement learning of space time popularities"
    - "on coding for cache aided delivery of dynamic correlated content"
    - "optimized base station cache allocation for cloud radio access network with multicast backhaul"
    - "updating content in cache aided coded multicast"
    - "on the effects of subpacketization in content centric mobile networks"
    - "show me the cache optimizing cache friendly recommendations for sequential content access"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"

Connected through hyperedge HE-5 (induced by source paper "fundamental limits of cloud and cache aided interference management with multi antenna base stations"):
  with members:
    - "cache aided content delivery in fog ran systems with topological information and no csi"
    - "k user symmetric m times n mimo interference channel under finite precision csit a gdof perspective"
    - "fog aided wireless networks for content delivery fundamental latency tradeoffs"
    - "coded caching in a multi server system with random topology"
    - "decentralized coded caching in wireless networks trade off between storage and latency"
    - "degrees of freedom of cache aided wireless interference networks"
    - "fundamental storage latency tradeoff in cache aided mimo interference networks"
    - "cache aided wireless networks tradeoffs between storage and latency"

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)