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: "parameterized vertex deletion problems for hereditary graph classes with a block property"
  Abstract: For a class of graphs $\mathcal{P}$, the Bounded $\mathcal{P}$-Block Vertex Deletion problem asks, given a graph $G$ on $n$ vertices and positive integers $k$ and $d$, whether there is a set $S$ of at most $k$ vertices such that each block of $G-S$ has at most $d$ vertices and is in $\mathcal{P}$. We show that when $\mathcal{P}$ satisfies a natural hereditary property and is recognizable in polynomial time, Bounded $\mathcal{P}$-Block Vertex Deletion can be solved in time $2^{O(k \log d)}n^{O(1)}$. When $\mathcal{P}$ contains all split graphs, we show that this running time is essentially optimal unless the Exponential Time Hypothesis fails. On the other hand, if $\mathcal{P}$ consists of only complete graphs, or only cycle graphs and $K_2$, then Bounded $\mathcal{P}$-Block Vertex Deletion admits a $c^{k}n^{O(1)}$-time algorithm for some constant $c$ independent of $d$. We also show that Bounded $\mathcal{P}$-Block Vertex Deletion admits a kernel with $O(k^2 d^7)$ vertices.

Connected through hyperedge HE-1 (induced by source paper "losing treewidth by separating subsets"):
  with members:
    - "linear kernels for edge deletion problems to immersion closed graph classes"
    - "approximation and kernelization for chordal vertex deletion"
    - "a single exponential fixed parameter algorithm for distance hereditary vertex deletion"
    - "lp based robust algorithms for noisy minor free and bounded treewidth graphs"
    - "partitioning a graph into small pieces with applications to path transversal"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "polynomial bounds for the grid minor theorem"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-2 (induced by source paper "slightly superexponential parameterized problems"):
  with members:
    - "linear recognition of almost interval graphs"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"
    - "bandwidth and distortion revisited"
    - "planar subgraph isomorphism revisited"
    - "randomized algorithms for the loop cutset problem"
    - "on the closest string and substring problems"

Connected through hyperedge HE-3 (induced by source paper "generalized feedback vertex set problems on bounded treewidth graphs chordality is the key to single exponential parameterized algorithms"):
  with members:
    - "slightly superexponential parameterized problems"
    - "optimal algorithms for hitting topological minors on graphs of bounded treewidth"
    - "deleting edges to restrict the size of an epidemic a new application for treewidth"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-4 (induced by source paper "a polynomial kernel for block graph deletion"):
  with members:
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "approximation and kernelization for chordal vertex deletion"
    - "a faster fpt algorithm and a smaller kernel for block graph vertex deletion"
    - "a polynomial kernel for block graph vertex deletion"
    - "on feedback vertex set new measure and new structures"
    - "chordal editing is fixed parameter tractable"
    - "faster deterministic feedback vertex set"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

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)