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: "exploiting non causal cpu state information for energy efficient mobile cooperative computing"
  Abstract: Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as co-computing. This paper considers a co-computing system where a user offloads computation of input-data to a helper. The helper controls the offloading process for the objective of minimizing the user's energy consumption based on a predicted helper's CPU-idling profile that specifies the amount of available computation resource for co-computing. Consider the scenario that the user has one-shot input-data arrival and the helper buffers offloaded bits. The problem for energy-efficient co-computing is formulated as two sub-problems: the slave problem corresponding to adaptive offloading and the master one to data partitioning. Given a fixed offloaded data size, the adaptive offloading aims at minimizing the energy consumption for offloading by controlling the offloading rate under the deadline and buffer constraints. By deriving the necessary and sufficient conditions for the optimal solution, we characterize the structure of the optimal policies and propose algorithms for computing the policies. Furthermore, we show that the problem of optimal data partitioning for offloading and local computing at the user is convex, admitting a simple solution using the sub-gradient method. Last, the developed design approach for co-computing is extended to the scenario of bursty data arrivals at the user accounting for data causality constraints. Simulation results verify the effectiveness of the proposed algorithms.

Connected through hyperedge HE-1 (induced by source paper "efficient resource allocation for mobile edge computing networks with noma completion time and energy minimization"):
  with members:
    - "a vision of 6g wireless systems applications trends technologies and open research problems"
    - "a survey of multi access edge computing in 5g and beyond fundamentals technology integration and state of the art"
    - "interplay between noma and other emerging technologies a survey"
    - "joint power and time allocation for noma mec offloading"
    - "delay minimization for noma mec offloading"
    - "resource allocation in noma based fog radio access networks"
    - "edge computing aware noma for 5g networks"
    - "impact of non orthogonal multiple access on the offloading of mobile edge computing"

Connected through hyperedge HE-2 (induced by source paper "noma aided mobile edge computing via user cooperation"):
  with members:
    - "joint computation and communication cooperation for energy efficient mobile edge computing"
    - "delay minimization for noma mec offloading"
    - "multiuser computation offloading and downloading for edge computing with virtualization"
    - "edge computing aware noma for 5g networks"
    - "price based distributed offloading for mobile edge computing with computation capacity constraints"
    - "a survey on mobile edge computing the communication perspective"
    - "a survey on non orthogonal multiple access for 5g networks research challenges and future trends"
    - "mobile edge computing a survey on architecture and computation offloading"

Connected through hyperedge HE-3 (induced by source paper "energy efficient mobile edge computation offloading over multiple fading blocks"):
  with members:
    - "joint computation and communication cooperation for energy efficient mobile edge computing"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "joint optimization of radio and computational resources for multicell mobile edge computing"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "on the simulatability condition in key generation over a non authenticated public channel"
    - "optimization of radio and computational resources for energy efficiency in latency constrained application offloading"

Connected through hyperedge HE-4 (induced by source paper "asynchronous mobile edge computation offloading energy efficient resource management"):
  with members:
    - "latency optimization for resource allocation in mobile edge computation offloading"
    - "a survey on mobile edge networks convergence of computing caching and communications"
    - "computation rate maximization for wireless powered mobile edge computing with binary computation offloading"
    - "a survey on mobile edge computing the communication perspective"
    - "joint task offloading scheduling and transmit power allocation for mobile edge computing systems"
    - "an online optimization framework for distributed fog network formation with minimal latency"
    - "joint computation offloading and resource allocation in cloud based wireless hetnets"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"

Connected through hyperedge HE-5 (induced by source paper "stochastic control of computation offloading to a helper with a dynamically loaded cpu"):
  with members:
    - "exploiting massive d2d collaboration for energy efficient mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "energy efficient mobile edge computing in dense cellular networks"
    - "wireless networks for mobile edge computing spatial modeling and latency analysis extended version"
    - "joint computation and communication cooperation for mobile edge computing"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "less is more participation incentives in d2d enhanced mobile edge computing under infectious ddos attacks"
    - "dynamic computation offloading for mobile edge computing with energy harvesting devices"

Connected through hyperedge HE-6 (induced by source paper "joint computation and communication cooperation for energy efficient mobile edge computing"):
  with members:
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "joint computation and communication cooperation for mobile edge computing"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "energy efficient resource allocation for mobile edge computation offloading"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "user cooperation in wireless powered communication networks"

Connected through hyperedge HE-7 (induced by source paper "joint computation and communication cooperation for mobile edge computing"):
  with members:
    - "exploiting massive d2d collaboration for energy efficient mobile edge computing"
    - "a survey on mobile edge computing the communication perspective"
    - "mobile edge computing a survey on architecture and computation offloading"
    - "joint offloading and computing optimization in wireless powered mobile edge computing systems"
    - "delay optimal computation task scheduling for mobile edge computing systems"
    - "energy efficient mobile cloud computing powered by wireless energy transfer"
    - "user cooperation in wireless powered communication 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.IT(Information Theory)