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: "fine grained parameterized complexity analysis of graph coloring problems"
  Abstract: The $q$-Coloring problem asks whether the vertices of a graph can be properly colored with $q$ colors. Lokshtanov et al. [SODA 2011] showed that $q$-Coloring on graphs with a feedback vertex set of size $k$ cannot be solved in time $\mathcal{O}^*((q-\varepsilon)^k)$, for any $\varepsilon > 0$, unless the Strong Exponential-Time Hypothesis (SETH) fails. In this paper we perform a fine-grained analysis of the complexity of $q$-Coloring with respect to a hierarchy of parameters. We show that even when parameterized by the vertex cover number, $q$ must appear in the base of the exponent: Unless ETH fails, there is no universal constant $\theta$ such that $q$-Coloring parameterized by vertex cover can be solved in time $\mathcal{O}^*(\theta^k)$ for all fixed $q$. We apply a method due to Jansen and Kratsch [Inform. & Comput. 2013] to prove that there are $\mathcal{O}^*((q - \varepsilon)^k)$ time algorithms where $k$ is the vertex deletion distance to several graph classes $\mathcal{F}$ for which $q$-Coloring is known to be solvable in polynomial time. We generalize earlier ad-hoc results by showing that if $\mathcal{F}$ is a class of graphs whose $(q+1)$-colorable members have bounded treedepth, then there exists some $\varepsilon > 0$ such that $q$-Coloring can be solved in time $\mathcal{O}^*((q-\varepsilon)^k)$ when parameterized by the size of a given modulator to $\mathcal{F}$. In contrast, we prove that if $\mathcal{F}$ is the class of paths - some of the simplest graphs of unbounded treedepth - then no such algorithm can exist unless SETH fails.

Connected through hyperedge HE-1 (induced by source paper "new algorithms for mixed dominating set"):
  with members:
    - "parameterized orientable deletion"
    - "tight approximation ratio for minimum maximal matching"
    - "finer tight bounds for coloring on clique width"
    - "structurally parameterized d scattered set"
    - "structural parameters tight bounds and approximation for k r center"
    - "an efficient algorithm for mixed domination on generalized series parallel graphs"
    - "on fixed parameter tractability of the mixed domination problem for graphs with bounded tree width"
    - "optimal dynamic program for r domination problems over tree decompositions"

Connected through hyperedge HE-2 (induced by source paper "detecting feedback vertex sets of size k in o star 2 7 k time"):
  with members:
    - "losing treewidth by separating subsets"
    - "a naive algorithm for feedback vertex set"
    - "on problems as hard as cnf sat"
    - "exact algorithms via monotone local search"
    - "on feedback vertex set new measure and new structures"
    - "powers of tensors and fast matrix multiplication"
    - "faster deterministic feedback vertex set"
    - "solving connectivity problems parameterized by treewidth in single exponential time"

Connected through hyperedge HE-3 (induced by source paper "parameterized complexity of edge coloured and signed graph homomorphism problems"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "the proof of csp dichotomy conjecture"

Connected through hyperedge HE-4 (induced by source paper "computing the chromatic number using graph decompositions via matrix rank"):
  with members:
    - "competitive algorithms for generalized k server in uniform metrics"
    - "cutwidth obstructions and algorithmic aspects"
    - "coloring graphs having few colorings over path decompositions"
    - "between treewidth and clique width"
    - "parameterized algorithms for modular width"
    - "speeding up dynamic programming with representative sets an experimental evaluation of algorithms for steiner tree on tree decompositions"
    - "data reduction for graph coloring problems"
    - "fast hamiltonicity checking via bases of perfect matchings"

Connected through hyperedge HE-5 (induced by source paper "optimal data reduction for graph coloring using low degree polynomials"):
  with members:
    - "smaller parameters for vertex cover kernelization"
    - "optimal sparsification for some binary csps using low degree polynomials"
    - "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"
    - "sparsification upper and lower bounds for graph problems and not all equal sat"
    - "point line cover the easy kernel is essentially tight"
    - "data reduction for graph coloring problems"
    - "list h coloring a graph by removing few vertices"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-6 (induced by source paper "known algorithms on graphs of bounded treewidth are probably optimal"):
  with members:
    - "on problems as hard as cnf sat"
    - "lower bounds for the parameterized complexity of minimum fill in and other completion problems"
    - "optimal dynamic program for r domination problems over tree decompositions"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "parameterized approximation schemes using graph widths"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "known algorithms for edge clique cover are probably optimal"

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)