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: "a faster parameterized algorithm for treedepth"
  Abstract: The width measure \emph{treedepth}, also known as vertex ranking, centered coloring and elimination tree height, is a well-established notion which has recently seen a resurgence of interest. We present an algorithm which---given as input an $n$-vertex graph, a tree decomposition of the graph of width $w$, and an integer $t$---decides Treedepth, i.e. whether the treedepth of the graph is at most $t$, in time $2^{O(wt)} \cdot n$. If necessary, a witness structure for the treedepth can be constructed in the same running time. In conjunction with previous results we provide a simple algorithm and a fast algorithm which decide treedepth in time $2^{2^{O(t)}} \cdot n$ and $2^{O(t^2)} \cdot n$, respectively, which do not require a tree decomposition as part of their input. The former answers an open question posed by Ossona de Mendez and Nesetril as to whether deciding Treedepth admits an algorithm with a linear running time (for every fixed $t$) that does not rely on Courcelle's Theorem or other heavy machinery. For chordal graphs we can prove a running time of $2^{O(t \log t)}\cdot n$ for the same algorithm.

Connected through hyperedge HE-1 (induced by source paper "hamiltonian cycle parameterized by treedepth in single exponential time and polynomial space"):
  with members:
    - "solving connectivity problems parameterized by treedepth in single exponential time and polynomial space"
    - "improved bounds for the excluded minor approximation of treedepth"
    - "polynomial bounds for centered colorings on proper minor closed graph classes"
    - "fast exact algorithms for some connectivity problems parametrized by clique width"
    - "turing kernelization for finding long paths in graph classes excluding a topological minor"
    - "clifford algebras meet tree decompositions"
    - "on space efficiency of algorithms working on structural decompositions of graphs"
    - "fast hamiltonicity checking via bases of perfect matchings"

Connected through hyperedge HE-2 (induced by source paper "parameterized algorithms for milps with small treedepth"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "experimental evaluation of parameterized algorithms for graph separation problems half integral relaxations and matroid based kernelization"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "combinatorial n fold integer programming and applications"
    - "0 1 all csps half integral a path packing and linear time fpt algorithms"
    - "solving integer linear programs with a small number of global variables and constraints"

Connected through hyperedge HE-3 (induced by source paper "sat encodings for treecut width and treedepth"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "the complexity landscape of decompositional parameters for ilp"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "solving and verifying the boolean pythagorean triples problem via cube and conquer"
    - "kernelizing mso properties of trees of fixed height and some consequences"
    - "structural parameterizations of the mixed chinese postman problem"
    - "computing tree depth faster than 2 n"
    - "where first order and monadic second order logic coincide"

Connected through hyperedge HE-4 (induced by source paper "improved bounds for the excluded minor approximation of treedepth"):
  with members:
    - "towards tight er bounds for the excluded grid theorem"

Connected through hyperedge HE-5 (induced by source paper "a parameterized strongly polynomial algorithm for block structured integer programs"):
  with members:
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "the complexity landscape of decompositional parameters for ilp"
    - "combinatorial n fold integer programming and applications"
    - "solving integer linear programs with a small number of global variables and constraints"
    - "a structural approach to kernels for ilps treewidth and total unimodularity"

Connected through hyperedge HE-6 (induced by source paper "polynomial kernels for hitting forbidden minors under structural parameterizations"):
  with members:
    - "vertex cover structural parameterization revisited"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "one hierarchy spawns another graph deconstructions and the complexity classification of conjunctive queries"

Connected through hyperedge HE-7 (induced by source paper "polynomial treedepth bounds in linear colorings"):
  with members:
    - "experimental evaluation of counting subgraph isomorphisms in classes of bounded expansion"

Connected through hyperedge HE-8 (induced by source paper "how much does a treedepth modulator help to obtain polynomial kernels beyond sparse graphs"):
  with members:
    - "bidimensionality and kernels"
    - "vertex cover structural parameterization revisited"
    - "meta kernelization using well structured modulators"
    - "explicit linear kernels via dynamic programming"
    - "meta kernelization with structural parameters"
    - "kernelization lower bounds by cross composition"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "dynamic programming for graphs on surfaces"

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)