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: "independent set induced matching and pricing connections and tight subexponential time approximation hardnesses"
  Abstract: We present a series of almost settled inapproximability results for three fundamental problems. The first in our series is the subexponential-time inapproximability of the maximum independent set problem, a question studied in the area of parameterized complexity. The second is the hardness of approximating the maximum induced matching problem on bounded-degree bipartite graphs. The last in our series is the tight hardness of approximating the k-hypergraph pricing problem, a fundamental problem arising from the area of algorithmic game theory. In particular, assuming the Exponential Time Hypothesis, our two main results are: #R##N#- For any r larger than some constant, any r-approximation algorithm for the maximum independent set problem must run in at least 2^{n^{1-\epsilon}/r^{1+\epsilon}} time. This nearly matches the upper bound of 2^{n/r} (Cygan et al., 2008). It also improves some hardness results in the domain of parameterized complexity (e.g., Escoffier et al., 2012 and Chitnis et al., 2013) #R##N#- For any k larger than some constant, there is no polynomial time min (k^{1-\epsilon}, n^{1/2-\epsilon})-approximation algorithm for the k-hypergraph pricing problem, where n is the number of vertices in an input graph. This almost matches the upper bound of min (O(k), \tilde O(\sqrt{n})) (by Balcan and Blum, 2007 and an algorithm in this paper). #R##N#We note an interesting fact that, in contrast to n^{1/2-\epsilon} hardness for polynomial-time algorithms, the k-hypergraph pricing problem admits n^{\delta} approximation for any \delta >0 in quasi-polynomial time. This puts this problem in a rare approximability class in which approximability thresholds can be improved significantly by allowing algorithms to run in quasi-polynomial time.

Connected through hyperedge HE-1 (induced by source paper "revenue maximization for query pricing"):
  with members:
    - "a duality based unified approach to bayesian mechanism design"
    - "the design of arbitrage free data pricing schemes"
    - "simple mechanisms for subadditive buyers via duality"
    - "mechanism design for subadditive agents via an ex ante relaxation"
    - "simple mechanisms for a subadditive buyer and applications to revenue monotonicity"
    - "a simple and approximately optimal mechanism for an additive buyer"
    - "optimal mechanisms for selling information"
    - "the power of randomness in bayesian optimal mechanism design"

Connected through hyperedge HE-2 (induced by source paper "improved in approximability bounds for d scattered set"):
  with members:
    - "kernelization and approximation of distance r independent sets on nowhere dense graphs"
    - "structurally parameterized d scattered set"
    - "on distance d independent set and other problems in graphs with few minimal separators"
    - "time approximation trade offs for inapproximable problems"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "bidimensionality and eptas"
    - "exponential time approximation of hard problems"

Connected through hyperedge HE-3 (induced by source paper "graph pricing with limited supply"):
  with members:
    - "exact algorithms and lower bounds for stable instances of euclidean k means"
    - "hardness of graph pricing through generalized max dicut"
    - "approximation algorithms for non single minded profit maximization problems with limited supply"
    - "a sublogarithmic approximation for highway and tollbooth pricing"

Connected through hyperedge HE-4 (induced by source paper "on subexponential running times for approximating directed steiner tree and related problems"):
  with members:
    - "new tools and connections for exponential time approximation"
    - "sub exponential approximation schemes for csps from dense to almost sparse"
    - "analytical approach to parallel repetition"
    - "exponential time approximation of hard problems"

Connected through hyperedge HE-5 (induced by source paper "subexponential time algorithms for maximum independent set in p_t free and broom free graphs"):
  with members:
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "maximum weight independent sets for p_7 triangle free graphs in polynomial time"

Connected through hyperedge HE-6 (induced by source paper "new tools and connections for exponential time approximation"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "time approximation trade offs for inapproximable problems"
    - "sparsification and subexponential approximation"
    - "exponential time approximation of hard problems"

Connected through hyperedge HE-7 (induced by source paper "time approximation trade offs for inapproximable problems"):
  with members:
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "effective resistance reducing flows spectrally thin trees and asymmetric tsp"
    - "analytical approach to parallel repetition"
    - "new inapproximability bounds for tsp"
    - "fixed parameter and approximation algorithms a new look"

Connected through hyperedge HE-8 (induced by source paper "pre reduction graph products hardnesses of properly learning dfas and approximating edp on dags"):
  with members:
    - "from average case complexity to improper learning complexity"
    - "a polylogarithimic approximation algorithm for edge disjoint paths with congestion 2"
    - "graph products revisited tight approximation hardness of induced matching poset dimension and more"
    - "routing in undirected graphs with constant congestion"

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)