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: "exploiting chordal structure in polynomial ideals a grobner bases approach"
  Abstract: Chordal structure and bounded treewidth allow for efficient computation in numerical linear algebra, graphical models, constraint satisfaction, and many other areas. In this paper, we begin the study of how to exploit chordal structure in computational algebraic geometry---in particular, for solving polynomial systems. The structure of a system of polynomial equations can be described in terms of a graph. By carefully exploiting the properties of this graph (in particular, its chordal completions), more efficient algorithms can be developed. To this end, we develop a new technique, which we refer to as chordal elimination, that relies on elimination theory and Grobner bases. By maintaining graph structure throughout the process, chordal elimination can outperform standard Grobner bases algorithms in many cases. The reason is because all computations are done on “smaller” rings of size equal to the treewidth of the graph (instead of the total number of variables). In particular, for a restricted class of i...

Connected through hyperedge HE-1 (induced by source paper "gr o bner basis over semigroup algebras algorithms and applications for sparse polynomial systems"):
  with members:
    - "on the chordality of polynomial sets in triangular decomposition in top down style"
    - "sparse grobner bases the unmixed case"
    - "polynomial systems solving by fast linear algebra"

Connected through hyperedge HE-2 (induced by source paper "on the chordality of polynomial sets in triangular decomposition in top down style"):
  with members:
    - "sparse fglm algorithms"
    - "chordal networks of polynomial ideals"
    - "sparse grobner bases the unmixed case"
    - "on the efficiency of solving boolean polynomial systems with the characteristic set method"
    - "on the complexity of solving quadratic boolean systems"
    - "a new algorithmic scheme for computing characteristic sets"

Connected through hyperedge HE-3 (induced by source paper "chordal graphs in triangular decomposition in top down style"):
  with members:
    - "on the chordality of polynomial sets in triangular decomposition in top down style"
    - "towards mixed grobner basis algorithms the multihomogeneous and sparse case"
    - "sparse fglm algorithms"
    - "chordal networks of polynomial ideals"
    - "sparse grobner bases the unmixed case"
    - "a new algorithmic scheme for computing characteristic sets"

Connected through hyperedge HE-4 (induced by source paper "chordal networks of polynomial ideals"):
  with members:
    - "an efficient tree decomposition method for permanents and mixed discriminants"

Connected through hyperedge HE-5 (induced by source paper "random sampling in computational algebra helly numbers and violator spaces"):
  with members:
    - "sparse grobner bases the unmixed case"
    - "gr obner bases and nullstellens atze for graph coloring ideals"
    - "polynomial systems solving by fast linear algebra"
    - "clarksons algorithm for violator spaces"
    - "violator spaces structure and algorithms"

Connected through hyperedge HE-6 (induced by source paper "on the robust hardness of gr obner basis computation"):
  with members:
    - "combinatorial coloring of 3 colorable graphs"
    - "conditional hardness for approximate coloring"
    - "approximate graph coloring by semidefinite programming"

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.SC(Symbolic Computation)