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: "clique versus independent set"
  Abstract: Abstract   Yannakakis’ Clique versus Independent Set problem (CL–IS) in communication complexity asks for the minimum number of cuts separating cliques from stable sets in a graph, called CS-separator. Yannakakis provides a quasi-polynomial CS-separator, i.e. of size    O   (    n    log  n    )    , and addresses the problem of finding a polynomial CS-separator. This question is still open even for perfect graphs. We show that a polynomial CS-separator almost surely exists for random graphs. Besides, if    H    is a split graph (i.e. has a vertex-partition into a clique and a stable set) then there exists a constant      c    H      for which we find a    O   (    n      c    H      )     CS-separator on the class of    H   -free graphs. This generalizes a result of Yannakakis on comparability graphs. We also provide a    O   (    n      c    k      )     CS-separator on the class of graphs without induced path of length    k    and its complement. Observe that on one side,      c    H      is of order    O   (   |  H  |   log   |  H  |   )     resulting from Vapnik–Chervonenkis dimension, and on the other side,      c    k      is a tower function, due to an application of the regularity lemma.  One of the main reason why Yannakakis’ CL–IS problem is fascinating is that it admits equivalent formulations. Our main result in this respect is to show that a polynomial CS-separator is equivalent to the polynomial Alon–Saks–Seymour Conjecture, asserting that if a graph has an edge-partition into    k    complete bipartite graphs, then its chromatic number is polynomially bounded in terms of    k   . We also show that the classical approach to the stubborn problem (arising in CSP) which consists in covering the set of all solutions by    O   (    n    log  n    )     instances of 2-SAT is again equivalent to the existence of a polynomial CS-separator.

Connected through hyperedge HE-1 (induced by source paper "clique stable set separation in perfect graphs with no balanced skew partitions"):
  with members:
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "coloring perfect graphs with no balanced skew partitions"

Connected through hyperedge HE-2 (induced by source paper "ordered biclique partitions and communication complexity problems"):
  with members:
    - "rank and fooling set size"

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.DM(Discrete Mathematics)