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: "note on max lin 2 above average"
  Abstract: In the Max Lin-2 problem we are given a system $S$ of $m$ linear equations in $n$ variables over $\mathbb{F}_2$ in which Equation $j$ is assigned a positive integral weight $w_j$ for each $j$. We wish to find an assignment of values to the variables which maximizes the total weight of satisfied equations. This problem generalizes Max Cut. The expected weight of satisfied equations is $W/2$, where $W=w_1+... +w_m$; $W/2$ is a tight lower bound on the optimal solution of Max Lin-2. #R##N#Mahajan et al. (J. Comput. Syst. Sci. 75, 2009) stated the following parameterized version of Max Lin-2: decide whether there is an assignment of values to the variables that satisfies equations of total weight at least $W/2+k$, where $k$ is the parameter. They asked whether this parameterized problem is fixed-parameter tractable, i.e., can be solved in time $f(k)(nm)^{O(1)}$, where $f(k)$ is an arbitrary computable function in $k$ only. Their question remains open, but using some probabilistic inequalities and, in one case, a Fourier analysis inequality, Gutin et al. (IWPEC 2009) proved that the problem is fixed-parameter tractable in three special cases. #R##N#In this paper we significantly extend two of the three special cases using only tools from combinatorics. We show that one of our results can be used to obtain a combinatorial proof that another problem from Mahajan et al. (J. Comput. Syst. Sci. 75, 2009), Max $r$-SAT above the Average, is fixed-parameter tractable for each $r\ge 2.$ Note that Max $r$-SAT above the Average has been already shown to be fixed-parameter tractable by Alon et al. (SODA 2010), but the paper used the approach of Gutin et al. (IWPEC 2009).

Connected through hyperedge HE-1 (induced by source paper "constraint satisfaction problems parameterized above or below tight bounds a survey"):
  with members:
    - "simultaneously satisfying linear equations over mathbb f _2 maxlin2 and max r lin2 parameterized above average"
    - "hypercontractive inequality for pseudo boolean functions of bounded fourier width"
    - "a new bound for 3 satisfiable maxsat and its algorithmic application"
    - "parameterized complexity of maxsat above average"
    - "on multiway cut parameterized above lower bounds"
    - "improved parameterized algorithms for constraint satisfaction"
    - "a new lower bound on the maximum number of satisfied clauses in max sat and its algorithmic application"
    - "betweenness parameterized above tight lower bound"

Connected through hyperedge HE-2 (induced by source paper "parameterized complexity of maxsat above average"):
  with members:
    - "faster parameterized algorithms using linear programming"
    - "simultaneously satisfying linear equations over mathbb f _2 maxlin2 and max r lin2 parameterized above average"
    - "a new bound for 3 satisfiable maxsat and its algorithmic application"
    - "on multiway cut parameterized above lower bounds"
    - "systems of linear equations over mathbb f _2 and problems parameterized above average"
    - "a new lower bound on the maximum number of satisfied clauses in max sat and its algorithmic application"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-3 (induced by source paper "simultaneously satisfying linear equations over mathbb f _2 maxlin2 and max r lin2 parameterized above average"):
  with members:
    - "hitting forbidden minors approximation and kernelization"
    - "improved parameterized algorithms for constraint satisfaction"
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "cross composition a new technique for kernelization lower bounds"
    - "a probabilistic approach to problems parameterized above or below tight bounds"

Connected through hyperedge HE-4 (induced by source paper "a new bound for 3 satisfiable maxsat and its algorithmic application"):
  with members:
    - "parameterized complexity of maxsat above average"
    - "improved parameterized algorithms for constraint satisfaction"
    - "a new lower bound on the maximum number of satisfied clauses in max sat and its algorithmic application"
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-5 (induced by source paper "note on maximal bisection above tight lower bound"):
  with members:
    - "vertex cover problem parameterized above and below tight bounds"
    - "betweenness parameterized above tight lower bound"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "solving max r sat above a tight lower bound"
    - "kernel s for problems with no kernel on out trees with many leaves"
    - "fixed parameter complexity of minimum profile problems"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-6 (induced by source paper "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"):
  with members:
    - "vertex cover problem parameterized above and below tight bounds"
    - "betweenness parameterized above tight lower bound"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "solving max r sat above a tight lower bound"
    - "fixed parameter complexity of minimum profile problems"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-7 (induced by source paper "systems of linear equations over mathbb f _2 and problems parameterized above average"):
  with members:
    - "solving max r sat above a tight lower bound"

Connected through hyperedge HE-8 (induced by source paper "betweenness parameterized above tight lower bound"):
  with members:
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "approximation schemes for the betweenness problem in tournaments and related ranking problems"
    - "solving max r sat above a tight lower bound"
    - "fixed parameter complexity of minimum profile problems"
    - "the linear arrangement problem parameterized above guaranteed value"

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.DS(Data Structures and Algorithms)