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: "auction mechanisms in cloud fog computing resource allocation for public blockchain networks"
  Abstract: As an emerging decentralized secure data management platform, blockchain has gained much popularity recently. To maintain a canonical state of blockchain data record, proof-of-work based consensus protocols provide the nodes, referred to as miners, in the network with incentives for confirming new block of transactions through a process of "block mining" by solving a cryptographic puzzle. Under the circumstance of limited local computing resources, e.g., mobile devices, it is natural for rational miners, i.e., consensus nodes, to offload computational tasks for proof of work to the cloud/fog computing servers. Therefore, we focus on the trading between the cloud/fog computing service provider and miners, and propose an auction-based market model for efficient computing resource allocation. In particular, we consider a proof-of-work based blockchain network. Due to the competition among miners in the blockchain network, the allocative externalities are particularly taken into account when designing the auction mechanisms. Specifically, we consider two bidding schemes: the constant-demand scheme where each miner bids for a fixed quantity of resources, and the multi-demand scheme where the miners can submit their preferable demands and bids. For the constant-demand bidding scheme, we propose an auction mechanism that achieves optimal social welfare. In the multi-demand bidding scheme, the social welfare maximization problem is NP-hard. Therefore, we design an approximate algorithm which guarantees the truthfulness, individual rationality and computational efficiency. Through extensive simulations, we show that our proposed auction mechanisms with the two bidding schemes can efficiently maximize the social welfare of the blockchain network and provide effective strategies for the cloud/fog computing service provider.

Connected through hyperedge HE-1 (induced by source paper "differentially private combinatorial cloud auction"):
  with members:
    - "differentially private double spectrum auction with approximate social welfare maximization"
    - "dominant resource fairness in cloud computing systems with heterogeneous servers"
    - "differentially private combinatorial optimization"

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 "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-4 (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"
    - "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"
    - "social welfare maximization auction in edge computing resource allocation for mobile blockchain"

Connected through hyperedge HE-5 (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"
    - "optimal auctions through deep learning"
    - "optimal auction for edge computing resource management in mobile blockchain networks a deep learning approach"
    - "least squares generative adversarial networks"
    - "a distributed auctioneer for resource allocation in decentralized systems"
    - "adam a method for stochastic optimization"

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)