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: "the complexity of computing the minimum rank of a sign pattern matrix"
  Abstract: We show that computing the minimum rank of a sign pattern matrix is NP hard. Our proof is based on a simple but useful connection between minimum ranks of sign pattern matrices and the stretchability problem for pseudolines arrangements. In fact, our hardness result shows that it is already hard to determine if the minimum rank of a sign pattern matrix is ⁄ 3. We complement this by giving a polynomial time algorithm for determining if a given sign pattern matrix has minimum rank ⁄ 2. Our result answers one of the open problems from [LMSS07] [Combinatorica, 27(4):439{463, 2007].

Connected through hyperedge HE-1 (induced by source paper "optimal curve straightening is exists mathbb r complete"):
  with members:
    - "a universality theorem for nested polytopes"
    - "min cost flow in unit capacity planar graphs"
    - "the art gallery problem is exists mathbb r complete"
    - "the complexity of drawing graphs on few lines and few planes"
    - "recognising multidimensional euclidean preferences"
    - "intersection graphs of rays and grounded segments"
    - "the complexity of tensor rank"
    - "recognition and complexity of point visibility graphs"

Connected through hyperedge HE-2 (induced by source paper "on the complexity of opinions and online discussions"):
  with members:
    - "deep sentence embedding using long short term memory networks analysis and application to information retrieval"
    - "learning and forecasting opinion dynamics in social networks"
    - "distributed representations of sentences and documents"
    - "controversy and sentiment in online news"
    - "convolutional neural networks for sentence classification"
    - "an approximation algorithm for approximation rank"

Connected through hyperedge HE-3 (induced by source paper "the border support rank of two by two matrix multiplication is seven"):
  with members:
    - "powers of tensors and fast matrix multiplication"
    - "equations for lower bounds on border rank"
    - "computing multiplicities of lie group representations"
    - "nondeterministic quantum query and quantum communication complexities"

Connected through hyperedge HE-4 (induced by source paper "what you will gain by rounding theory and algorithms for rounding rank"):
  with members:
    - "hyperbolae are no hyperbole modelling communities that are not cliques"
    - "from below approximations in boolean matrix factorization geometry and new algorithm"
    - "what is the dimension of your binary data"

Connected through hyperedge HE-5 (induced by source paper "the complexity of tensor rank"):
  with members:
    - "most tensor problems are np hard"

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)