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 "differentially private call auctions and market impact"):
  Abstract: We propose and analyze differentially private (DP) mechanisms for call auctions as an alternative to the complex and ad-hoc privacy efforts that are common in modern electronic markets. We prove that the number of shares cleared in the DP mechanisms compares favorably to the non-private optimal and provide a matching lower bound. We analyze the incentive properties of our mechanisms and their behavior under natural no-regret learning dynamics by market participants. We include simulation results and connections to the finance literature on market impact.

Includes members:
  Member "differentially private double spectrum auction with approximate social welfare maximization":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "differentially private combinatorial cloud auction")
  Member "strategic classification from revealed preferences":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "decisions counterfactual explanations and strategic behavior")
  Member "private matchings and allocations":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "scalable and jointly differentially private packing")
  Member "jointly private convex programming":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "reviewing and improving the gaussian mechanism for differential privacy")
  Member "inducing approximately optimal flow using truthful mediators":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "scalable and jointly differentially private packing")
  Member "approximately stable school optimal and student truthful many to one matchings via differential privacy":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "inducing approximately optimal flow using truthful mediators")
  Member "privacy and truthful equilibrium selection for aggregative games":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "jointly private convex programming")
  Member "asymptotically truthful equilibrium selection in large congestion games":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "scalable and jointly differentially private packing")

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.GT(Computer Science and Game Theory)