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: "efficient rounding for the noncommutative grothendieck inequality"
  Abstract: The classical Grothendieck inequality has applications to the design of approximation algorithms for NP-hard optimization problems. We show that an algorithmic interpretation may also be given for a noncommutative generalization of the Grothendieck inequality due to Pisier and Haagerup. Our main result, an efficient rounding procedure for this inequality, leads to a constant-factor polynomial time approximation algorithm for an optimization problem which generalizes the Cut Norm problem of Frieze and Kannan, and is shown here to have additional applications to robust principle component analysis and the orthogonal Procrustes problem.

Connected through hyperedge HE-1 (induced by source paper "an overview of robust subspace recovery"):
  with members:
    - "fast robust and non convex subspace recovery"
    - "static and dynamic robust pca via low rank sparse matrix decomposition a review"
    - "on the complexity of robust pca and l1 norm low rank matrix approximation"
    - "estimation of camera locations in highly corrupted scenarios all about that base no shape trouble"
    - "static and dynamic robust pca and matrix completion a review"
    - "being robust in high dimensions can be practical"
    - "a new rank constraint on multi view fundamental matrices and its application to camera location recovery"
    - "a well tempered landscape for non convex robust subspace recovery"

Connected through hyperedge HE-2 (induced by source paper "non unique games over compact groups and orientation estimation in cryo em"):
  with members:
    - "synchronization over z2 and community detection in signed multiplex networks with constraints"
    - "near optimal joint object matching via convex relaxation"
    - "fast steerable principal component analysis"
    - "decoding binary node labels from censored edge measurements phase transition and efficient recovery"
    - "exact recovery in the stochastic block model"
    - "multireference alignment using semidefinite programming"
    - "approximating the little grothendieck problem over the orthogonal and unitary groups"

Connected through hyperedge HE-3 (induced by source paper "tight hardness of the non commutative grothendieck problem"):
  with members:
    - "analysis of boolean functions"
    - "grothendieck type inequalities in combinatorial optimization"
    - "approximate kernel clustering"

Connected through hyperedge HE-4 (induced by source paper "global registration of multiple point clouds using semidefinite programming"):
  with members:
    - "robust computation of linear models by convex relaxation"
    - "manopt a matlab toolbox for optimization on manifolds"
    - "approximating the little grothendieck problem over the orthogonal and unitary groups"
    - "incremental computation of pseudo inverse of laplacian theory and applications"
    - "exact and stable recovery of rotations for robust synchronization"
    - "eigenvector synchronization graph rigidity and the molecule problem"
    - "phaselift exact and stable signal recovery from magnitude measurements via convex programming"
    - "estimation and registration on graphs"

Connected through hyperedge HE-5 (induced by source paper "approximating the little grothendieck problem over the orthogonal and unitary groups"):
  with members:
    - "tight hardness of the non commutative grothendieck problem"
    - "global registration of multiple point clouds using semidefinite programming"
    - "exact and stable recovery of rotations for robust synchronization"

Connected through hyperedge HE-6 (induced by source paper "algorithms and hardness for robust subspace recovery"):
  with members:
    - "a geometric analysis of subspace clustering with outliers"
    - "robust pca via outlier pursuit"
    - "reductions between expansion problems"
    - "robust principal component analysis"
    - "algorithms and hardness for subspace approximation"
    - "exact matrix completion via convex optimization"

Connected through hyperedge HE-7 (induced by source paper "exact and stable recovery of rotations for robust synchronization"):
  with members:
    - "cramer rao bounds for synchronization of rotations"
    - "eigenvector synchronization graph rigidity and the molecule problem"
    - "estimation and registration on graphs"
    - "max cut and the smallest eigenvalue"

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.DS(Data Structures and Algorithms)