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: "unit interval editing is fixed parameter tractable"
  Abstract: Given a graph~$G$ and integers $k_1$, $k_2$, and~$k_3$, the unit interval editing problem asks whether $G$ can be transformed into a unit interval graph by at most $k_1$ vertex deletions, $k_2$ edge deletions, and $k_3$ edge additions. We give an algorithm solving this problem in time $2^{O(k\log k)}\cdot (n+m)$, where $k := k_1 + k_2 + k_3$, and $n, m$ denote respectively the numbers of vertices and edges of $G$. Therefore, it is fixed-parameter tractable parameterized by the total number of allowed operations. #R##N#Our algorithm implies the fixed-parameter tractability of the unit interval edge deletion problem, for which we also present a more efficient algorithm running in time $O(4^k \cdot (n + m))$. Another result is an $O(6^k \cdot (n + m))$-time algorithm for the unit interval vertex deletion problem, significantly improving the algorithm of van 't Hof and Villanger, which runs in time $O(6^k \cdot n^6)$.

Connected through hyperedge HE-1 (induced by source paper "vertex deletion problems on chordal graphs"):
  with members:
    - "approximation and kernelization for chordal vertex deletion"
    - "faster online matrix vector multiplication"
    - "exact algorithms via monotone local search"
    - "approximate association via dissociation"
    - "linear recognition of almost interval graphs"
    - "chordal editing is fixed parameter tractable"
    - "large induced subgraphs via triangulations and cmso"
    - "largest chordal and interval subgraphs faster than 2 n"

Connected through hyperedge HE-2 (induced by source paper "unit interval vertex deletion fewer vertices are relevant"):
  with members:
    - "approximation and kernelization for chordal vertex deletion"
    - "linear recognition of almost interval graphs"
    - "a polynomial kernel for trivially perfect editing"

Connected through hyperedge HE-3 (induced by source paper "exact algorithms via monotone local search"):
  with members:
    - "exact algorithms for maximum independent set"
    - "faster algorithms to enumerate hypergraph transversals"
    - "a faster fpt algorithm and a smaller kernel for block graph vertex deletion"
    - "faster exact and parameterized algorithm for feedback vertex set in tournaments"
    - "on feedback vertex set new measure and new structures"
    - "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"
    - "linear recognition of almost interval graphs"
    - "a multivariate framework for weighted fpt algorithms"

Connected through hyperedge HE-4 (induced by source paper "an fpt algorithm and a polynomial kernel for linear rankwidth 1 vertex deletion"):
  with members:
    - "further kernelization of proper interval vertex deletion new observations and refined analysis"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "constructive algorithm for path width of matroids"
    - "a note on graphs of linear rank width 1"
    - "interval deletion is fixed parameter tractable"
    - "a polynomial kernel for proper interval vertex deletion"
    - "linear kernels and single exponential algorithms via protrusion decompositions"
    - "a quartic kernel for pathwidth one vertex deletion"

Connected through hyperedge HE-5 (induced by source paper "chordal editing is fixed parameter tractable"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "linear recognition of almost interval graphs"
    - "interval deletion is fixed parameter tractable"
    - "finding small separators in linear time via treewidth reduction"
    - "subexponential parameterized algorithm for minimum fill in"
    - "cluster editing kernelization based on edge cuts"

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)