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: "can almost everybody be almost happy pcp for ppad and the inapproximability of nash"
  Abstract: We conjecture that PPAD has a PCP-like complete problem, seeking a near equilibrium in which all but very few players have very little incentive to deviate. We show that, if one assumes that this problem requires exponential time, several open problems in this area are settled. The most important implication, proved via a "birthday repetition" reduction, is that the n^O(log n) approximation scheme of [LMM03] for the Nash equilibrium of two-player games is essentially optimum. Two other open problems in the area are resolved once one assumes this conjecture, establishing that certain approximate equilibria are PPAD-complete: Finding a relative approximation of two-player Nash equilibria (without the well-supported restriction of [Das13]), and an approximate competitive equilibrium with equal incomes [Bud11] with small clearing error and near-optimal Gini coefficient.

Connected through hyperedge HE-1 (induced by source paper "public bayesian persuasion being almost optimal and almost persuasive"):
  with members:
    - "persuading voters it s easy to whisper it s hard to speak loud"
    - "on the tractability of public persuasion with no externalities"
    - "targeting and signaling in ad auctions"
    - "algorithmic persuasion with no externalities"
    - "computational aspects of private bayesian persuasion"
    - "bayesian exploration incentivizing exploration in bayesian games"
    - "inapproximability results for approximate nash equilibria"
    - "algorithmic bayesian persuasion"

Connected through hyperedge HE-2 (induced by source paper "well supported versus approximate nash equilibria query complexity of large games"):
  with members:
    - "the query complexity of correlated equilibria"
    - "on the structure covering and learning of poisson multinomial distributions"
    - "on the complexity of nash equilibria in anonymous games"
    - "inapproximability of nash equilibrium"
    - "query complexity of approximate equilibria in anonymous games"
    - "constant rank bimatrix games are ppad hard"
    - "finding approximate nash equilibria of bimatrix games via payoff queries"
    - "learning equilibria of games via payoff queries"

Connected through hyperedge HE-3 (induced by source paper "eth hardness for densest k subgraph with perfect completeness"):
  with members:
    - "improved sum of squares lower bounds for hidden clique and hidden submatrix problems"
    - "combining traditional marketing and viral marketing with amphibious influence maximization"
    - "sum of squares lower bounds for planted clique"
    - "am with multiple merlins"
    - "new algorithms for learning incoherent and overcomplete dictionaries"
    - "finding endogenously formed communities"
    - "finding overlapping communities in social networks toward a rigorous approach"
    - "polynomial integrality gaps for strong sdp relaxations of densest k subgraph"

Connected through hyperedge HE-4 (induced by source paper "eth hardness for symmetric signaling in zero sum games"):
  with members:
    - "on the hardness of signaling"
    - "am with multiple merlins"
    - "on oblivious ptas s for nash equilibrium"

Connected through hyperedge HE-5 (induced by source paper "honest signaling in zero sum games is hard and lying is even harder"):
  with members:
    - "on the hardness of signaling"
    - "am with multiple merlins"
    - "on oblivious ptas s for nash equilibrium"

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.CC(Computational Complexity)