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: "min rank conjecture for log depth circuits"
  Abstract: A completion of an m-by-n matrix A with entries in {0,1,@?} is obtained by setting all @?-entries to constants 0 and 1. A system of semi-linear equations over GF"2 has the form Mx=f(x), where M is a completion of A and f:{0,1}^n->{0,1}^m is an operator, the ith coordinate of which can only depend on variables corresponding to @?-entries in the ith row of A. We conjecture that no such system can have more than 2^n^-^@e^@?^m^r^(^A^) solutions, where @e>0 is an absolute constant and mr(A) is the smallest rank over GF"2 of a completion of A. The conjecture is related to an old problem of proving super-linear lower bounds on the size of log-depth boolean circuits computing linear operators [email protected]?Mx. The conjecture is also a generalization of a classical question about how much larger can non-linear codes be than linear ones. We prove some special cases of the conjecture and establish some structural properties of solution sets.

Connected through hyperedge HE-1 (induced by source paper "equivalence of systematic linear data structures and matrix rigidity"):
  with members:
    - "static data structure lower bounds imply rigidity"
    - "matrix rigidity and the croot lev pach lemma"
    - "crossing the logarithmic barrier for dynamic boolean data structure lower bounds"
    - "probabilistic rank and matrix rigidity"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "new unconditional hardness results for dynamic and online problems"
    - "adapt or die polynomial lower bounds for non adaptive dynamic data structures"
    - "the cell probe complexity of dynamic range counting"

Connected through hyperedge HE-2 (induced by source paper "static data structure lower bounds imply rigidity"):
  with members:
    - "adapt or die polynomial lower bounds for non adaptive dynamic data structures"
    - "lower bounds on near neighbor search via metric expansion"

Connected through hyperedge HE-3 (induced by source paper "the minrank of random graphs"):
  with members:
    - "three stories on a two sided coin index coding locally recoverable distributed storage and guessing games on graphs"
    - "on a duality between recoverable distributed storage and index coding"
    - "an equivalence between network coding and index coding"
    - "on linear index coding for random graphs"
    - "linear index coding via semidefinite programming"
    - "non linear index coding outperforming the linear optimum"

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)