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: "optimal auction for edge computing resource management in mobile blockchain networks a deep learning approach"
  Abstract: Blockchain has recently been applied in many applications such as bitcoin, smart grid, and Internet of Things (IoT) as a public ledger of transactions. However, the use of blockchain in mobile environments is still limited because the mining process consumes too much computing and energy resources on mobile devices. Edge computing offered by the Edge Computing Service Provider can be adopted as a viable solution for offloading the mining tasks from the mobile devices, i.e., miners, in the mobile blockchain environment. However, a mechanism needs to be designed for edge resource allocation to maximize the revenue for the Edge Computing Service Provider and to ensure incentive compatibility and individual rationality is still open. In this paper, we develop an optimal auction based on deep learning for the edge resource allocation. Specifically, we construct a multi-layer neural network architecture based on an analytical solution of the optimal auction. The neural networks first perform monotone transformations of the miners' bids. Then, they calculate allocation and conditional payment rules for the miners. We use valuations of the miners as the data training to adjust parameters of the neural networks so as to optimize the loss function which is the expected, negated revenue of the Edge Computing Service Provider. We show the experimental results to confirm the benefits of using the deep learning for deriving the optimal auction for mobile blockchain with high revenue

Connected through hyperedge HE-1 (induced by source paper "a survey on consensus mechanisms and mining strategy management in blockchain networks"):
  with members:
    - "decentralization in bitcoin and ethereum networks"
    - "information and communications technologies for sustainable development goals state of the art needs and perspectives"
    - "a scale out blockchain for value transfer with spontaneous sharding"
    - "a survey on security and privacy issues of bitcoin"
    - "on cyber risk management of blockchain networks a game theoretic approach"
    - "scaling nakamoto consensus to thousands of transactions per second"
    - "competitive data trading in wireless powered internet of things iot crowdsensing systems with blockchain"
    - "blockchained on device federated learning"

Connected through hyperedge HE-2 (induced by source paper "a survey on applications of game theory in blockchain"):
  with members:
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "security services using blockchains a state of the art survey"
    - "blockchain governance game"
    - "exchange of renewable energy among prosumers using blockchain with dynamic pricing"
    - "game of coins"
    - "delayed blockchain protocols"
    - "reward sharing schemes for stake pools"
    - "a survey on the security of blockchain systems"

Connected through hyperedge HE-3 (induced by source paper "integration of blockchain and cloud of things architecture applications and challenges"):
  with members:
    - "ekiden a platform for confidentiality preserving trustworthy and performant smart contracts"
    - "blockchain technologies for the internet of things research issues and challenges"
    - "a survey on consensus mechanisms and mining strategy management in blockchain networks"
    - "designing a blockchain based iot with ethereum swarm and lora the software solution to create high availability with minimal security risks"
    - "energy crowdsourcing and peer to peer energy trading in blockchain enabled smart grids"
    - "bpds a blockchain based privacy preserving data sharing for electronic medical records"
    - "a survey on the security of blockchain systems"
    - "wip a novel blockchain based trust model for cloud identity management"

Connected through hyperedge HE-4 (induced by source paper "when energy trading meets blockchain in electrical power system the state of the art"):
  with members:
    - "blockchain technologies for the internet of things research issues and challenges"
    - "decentralized p2p energy trading under network constraints in a low voltage network"
    - "on the applicability of distributed ledger architectures to peer to peer energy trading framework"
    - "peer to peer and community based markets a comprehensive review"
    - "peer to peer energytrade a distributed private energy trading platform"
    - "secure and privacy friendly local electricity trading and billing in smart grid"
    - "peer to peer energy trading with sustainable user participation a game theoretic approach"
    - "privacy preserving and efficient aggregation based on blockchain for power grid communications in smart communities"

Connected through hyperedge HE-5 (induced by source paper "computation offloading in the untrusted mec aided mobile blockchain iot system"):
  with members:
    - "when internet of things meets blockchain challenges in distributed consensus"
    - "blockchain for internet of things a survey"
    - "delay and communication tradeoffs for blockchain systems with lightweight iot clients"
    - "auction mechanisms in cloud fog computing resource allocation for public blockchain networks"
    - "cloud fog computing resource management and pricing for blockchain networks"
    - "analysis of the communication traffic for blockchain synchronization of iot devices"
    - "when mobile blockchain meets edge computing"
    - "a survey on mobile edge computing the communication perspective"

Connected through hyperedge HE-6 (induced by source paper "auction based charging scheduling with deep learning framework for multi drone networks"):
  with members:
    - "decentralized combinatorial auctions for multi unit resource allocation"
    - "auction mechanisms in cloud fog computing resource allocation for public blockchain networks"
    - "optimal auctions through deep learning"
    - "least squares generative adversarial networks"
    - "a distributed auctioneer for resource allocation in decentralized systems"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-7 (induced by source paper "vehicular edge computing via deep reinforcement learning"):
  with members:
    - "experience driven networking a deep reinforcement learning based approach"
    - "decorrelation of neutral vector variables theory and applications"
    - "the role of data analysis in the development of intelligent energy networks"
    - "efficient multi user computation offloading for mobile edge cloud computing"

Connected through hyperedge HE-8 (induced by source paper "machine learning in for blockchain future and challenges"):
  with members:
    - "a probabilistic model of the bitcoin blockchain"
    - "cryptocurrency portfolio management with deep reinforcement learning"
    - "communication efficient learning of deep networks from decentralized data"
    - "bayesian regression and bitcoin"

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.GT(Computer Science and Game Theory)