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: "smoothing brascamp lieb inequalities and strong converses for common randomness generation"
  Abstract: We study the infimum of the best constant in a functional inequality, the Brascamp-Lieb-like inequality, over auxiliary measures within a neighborhood of a product distribution. In the finite alphabet and the Gaussian cases, such an infimum converges to the best constant in a mutual information inequality. Implications for strong converse properties of two common randomness (CR) generation problems are discussed. In particular, we prove the strong converse property of the rate region for the omniscient helper CR generation problem in the discrete and the Gaussian cases. The latter case is perhaps the first instance of a strong converse for a continuous source when the rate region involves auxiliary random variables.

Connected through hyperedge HE-1 (induced by source paper "resolution limits of noisy 20 questions estimation"):
  with members:
    - "unequal error protection querying policies for the noisy 20 questions problem"
    - "improved target acquisition rates with feedback codes"
    - "exponential strong converse for content identification with lossy recovery"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the dispersion of nearest neighbor decoding for additive non gaussian channels"
    - "second order coding rates for channels with state"
    - "searching with measurement dependent noise"
    - "collaborative 20 questions for target localization"

Connected through hyperedge HE-2 (induced by source paper "communication complexity of estimating correlations"):
  with members:
    - "geometric lower bounds for distributed parameter estimation under communication constraints"
    - "strong data processing inequalities for channels and bayesian networks"
    - "secret key generation with limited interaction"
    - "secret key generation with one communicator and a one shot converse via hypercontractivity"
    - "communication lower bounds for statistical estimation problems via a distributed data processing inequality"
    - "converses for secret key agreement and secure computing"
    - "communication with imperfectly shared randomness"
    - "an optimal lower bound on the communication complexity of gap hamming distance"

Connected through hyperedge HE-3 (induced by source paper "second order converses via reverse hypercontractivity"):
  with members:
    - "information theoretic perspectives on brascamp lieb inequality and its reverse"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "strong converse exponent for degraded broadcast channels at rates outside the capacity region"
    - "a technique for deriving one shot achievability results in network information theory"
    - "fixed length lossy compression in the finite blocklength regime"
    - "information spectrum approach to second order coding rate in channel coding"
    - "mutual information and minimum mean square error in gaussian channels"

Connected through hyperedge HE-4 (induced by source paper "on geodesically convex formulations for the brascamp lieb constant"):
  with members:
    - "operator scaling via geodesically convex optimization invariant theory and polynomial identity testing"
    - "breaking the quadratic barrier for 3 lccs over the reals"

Connected through hyperedge HE-5 (induced by source paper "exponential strong converse for content identification with lossy recovery"):
  with members:
    - "refined asymptotics for rate distortion using gaussian codebooks for arbitrary sources"
    - "second order region for gray wyner network"
    - "the dispersion of universal joint source channel coding for arbitrary sources and additive channels"
    - "non asymptotic converse bounds and refined asymptotics for two lossy source coding problems"
    - "wyner s common information under r enyi divergence measures"
    - "discrete lossy gray wyner revisited second order asymptotics large and moderate deviations"
    - "new strong converse for asymmetric broadcast channels"
    - "achievable moderate deviations asymptotics for streaming compression of correlated sources"

Connected through hyperedge HE-6 (induced by source paper "strong converses are just edge removal properties"):
  with members:
    - "on the impact of a single edge on the network coding capacity"
    - "on the capacity advantage of a single bit"
    - "a proof of the strong converse theorem for gaussian multiple access channels"
    - "exponent function for one helper source coding problem at rates outside the rate region"
    - "strong converse exponent for degraded broadcast channels at rates outside the capacity region"
    - "strong converse theorems for degraded broadcast channels with feedback"
    - "equivalence for networks with adversarial state"
    - "a case where interference does not affect the channel dispersion"

Connected through hyperedge HE-7 (induced by source paper "algorithmic and optimization aspects of brascamp lieb inequalities via operator scaling"):
  with members:
    - "sum of square proof for brascamp lieb type inequality"
    - "information theoretic perspectives on brascamp lieb inequality and its reverse"
    - "polynomial time tensor decompositions with sum of squares"
    - "operator scaling theory and applications"
    - "constructive noncommutative rank computation in deterministic polynomial time over fields of arbitrary characteristics"
    - "constructive noncommutative rank computation is in deterministic polynomial time"
    - "speeding up sum of squares for tensor decomposition and planted sparse vectors"
    - "a deterministic polynomial time algorithm for non commutative rational identity testing"

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.IT(Information Theory)