human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "ordered biclique partitions and communication complexity problems"):
  Abstract: An ordered biclique partition of the complete graph $K_n$ on $n$ vertices is a collection of bicliques (i.e., complete bipartite graphs) such that (i) every edge of $K_n$ is covered by at least one and at most two bicliques in the collection, and (ii) if an edge $e$ is covered by two bicliques then each endpoint of $e$ is in the first class in one of these bicliques and in the second class in other one. In this note, we give an explicit construction of such a collection of size $n^{1/2+o(1)}$, which improves the $O(n^{2/3})$ bound shown in the previous work [Disc. Appl. Math., 2014]. #R##N#As the immediate consequences of this result, we show (i) a construction of $n \times n$ 0/1 matrices of rank $n^{1/2+o(1)}$ which have a fooling set of size $n$, i.e., the gap between rank and fooling set size can be at least almost quadratic, and (ii) an improved lower bound $(2-o(1)) \log N$ on the nondeterministic communication complexity of the clique vs. independent set problem, which matches the best known lower bound on the deterministic version of the problem shown by Kushilevitz, Linial and Ostrovsky [Combinatorica, 1999].

Includes members:
  Member "clique versus independent set":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "clique stable set separation in perfect graphs with no balanced skew partitions")
  Member "rank and fooling set size":
    also connected through other hyperedges:
      (none)

Question: Please tell me which class the source paper 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)