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: "fixed parameter complexity of minimum profile problems"
  Abstract: Let $G=(V,E)$ be a graph. An ordering of $G$ is a bijection $\alpha: V\dom \{1,2,..., |V|\}.$ For a vertex $v$ in $G$, its closed neighborhood is $N[v]=\{u\in V: uv\in E\}\cup \{v\}.$ The profile of an ordering $\alpha$ of $G$ is $\prf_{\alpha}(G)=\sum_{v\in V}(\alpha(v)-\min\{\alpha(u): u\in N[v]\}).$ The profile $\prf(G)$ of $G$ is the minimum of $\prf_{\alpha}(G)$ over all orderings $\alpha$ of $G$. It is well-known that $\prf(G)$ is the minimum number of edges in an interval graph $H$ that contains $G$ is a subgraph. Since $|V|-1$ is a tight lower bound for the profile of connected graphs $G=(V,E)$, the parametrization above the guaranteed value $|V|-1$ is of particular interest. We show that deciding whether the profile of a connected graph $G=(V,E)$ is at most $|V|-1+k$ is fixed-parameter tractable with respect to the parameter $k$. We achieve this result by reduction to a problem kernel of linear size.

Connected through hyperedge HE-1 (induced by source paper "parameterized and approximation algorithms for the load coloring problem"):
  with members:
    - "parameterized algorithms for load coloring problem"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-2 (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"
    - "note on max lin 2 above average"
    - "kernel s for problems with no kernel on out trees with many leaves"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-3 (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"
    - "note on max lin 2 above average"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-4 (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"
    - "note on max lin 2 above average"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-5 (induced by source paper "a probabilistic approach to problems parameterized above or below tight bounds"):
  with members:
    - "all ternary permutation constraint satisfaction problems parameterized above average have kernels with quadratic numbers of variables"
    - "systems of linear equations over mathbb f _2 and problems parameterized above average"
    - "betweenness parameterized above tight lower bound"
    - "solving max r sat above a tight lower bound"
    - "note on max lin 2 above average"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-6 (induced by source paper "solving max r sat above a tight lower bound"):
  with members:
    - "systems of linear equations over mathbb f _2 and problems parameterized above average"
    - "betweenness parameterized above tight lower bound"
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "a new upper bound for max 2 sat a graph theoretic approach"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-7 (induced by source paper "note on max lin 2 above average"):
  with members:
    - "a probabilistic approach to problems parameterized above or below tight bounds"
    - "solving max r sat above a tight lower bound"
    - "the linear arrangement problem parameterized above guaranteed value"

Connected through hyperedge HE-8 (induced by source paper "minimum leaf out branching and related problems"):
  with members:
    - "algorithm for finding k vertex out trees and its application to k internal out branching problem"
    - "parameterized algorithms for directed maximum leaf problems"
    - "an fpt algorithm for directed spanning k leaf"
    - "better algorithms and bounds for directed maximum leaf 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)