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: "linear kernels for edge deletion problems to immersion closed graph classes"
  Abstract: Suppose $\mathcal{F}$ is a finite family of graphs. We consider the following meta-problem, called $\mathcal{F}$-Immersion Deletion: given a graph $G$ and integer $k$, decide whether the deletion of at most $k$ edges of $G$ can result in a graph that does not contain any graph from $\mathcal{F}$ as an immersion. This problem is a close relative of the $\mathcal{F}$-Minor Deletion problem studied by Fomin et al. [FOCS 2012], where one deletes vertices in order to remove all minor models of graphs from $\mathcal{F}$. #R##N#We prove that whenever all graphs from $\mathcal{F}$ are connected and at least one graph of $\mathcal{F}$ is planar and subcubic, then the $\mathcal{F}$-Immersion Deletion problem admits: a constant-factor approximation algorithm running in time $O(m^3 \cdot n^3 \cdot \log m)$; a linear kernel that can be computed in time $O(m^4 \cdot n^3 \cdot \log m)$; and a $O(2^{O(k)} + m^4 \cdot n^3 \cdot \log m)$-time fixed-parameter algorithm, where $n,m$ count the vertices and edges of the input graph. #R##N#These results mirror the findings of Fomin et al. [FOCS 2012], who obtained a similar set of algorithmic results for $\mathcal{F}$-Minor Deletion, under the assumption that at least one graph from $\mathcal{F}$ is planar. An important difference is that we are able to obtain a linear kernel for $\mathcal{F}$-Immersion Deletion, while the exponent of the kernel of Fomin et al. for $\mathcal{F}$-Minor Deletion depends heavily on the family $\mathcal{F}$. In fact, this dependence is unavoidable under plausible complexity assumptions, as proven by Giannopoulou et al. [ICALP 2015]. This reveals that the kernelization complexity of $\mathcal{F}$-Immersion Deletion is quite different than that of $\mathcal{F}$-Minor Deletion.

Connected through hyperedge HE-1 (induced by source paper "reducing topological minor containment to the unique linkage theorem"):
  with members:
    - "hitting topological minor models in planar graphs is fixed parameter tractable"
    - "improved analysis of highest degree branching for feedback vertex set"
    - "losing treewidth by separating subsets"
    - "a 2 approximation algorithm for feedback vertex set in tournaments"
    - "polylogarithmic approximation for minimum planarization almost"
    - "exact algorithms for maximum independent set"
    - "bidimensionality and kernels"
    - "exact algorithms via monotone local search"

Connected through hyperedge HE-2 (induced by source paper "losing treewidth by separating subsets"):
  with members:
    - "parameterized vertex deletion problems for hereditary graph classes with a block property"
    - "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-3 (induced by source paper "strong immersion is a well quasi ordering for semi complete digraphs"):
  with members:
    - "an fpt 2 approximation for tree cut decomposition"

Connected through hyperedge HE-4 (induced by source paper "bidimensionality and kernels"):
  with members:
    - "improved bounds for the excluded grid theorem"
    - "neighborhood complexity and kernelization for nowhere dense classes of graphs"
    - "kernelization and sparseness the case of dominating set"
    - "explicit linear kernels via dynamic programming"
    - "bidimensionality of geometric intersection graphs"
    - "polynomial bounds for the grid minor theorem"
    - "kernels for connected dominating set on graphs with excluded topological subgraphs"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-5 (induced by source paper "recent techniques and results on the erd h o s p osa property"):
  with members:
    - "hitting minors subdivisions and immersions in tournaments"
    - "approximation and kernelization for chordal vertex deletion"
    - "an o log opt approximation for covering and packing minor models of theta _r"
    - "an exact characterization of tractable demand patterns for maximum disjoint path problems"
    - "large treewidth graph decompositions and applications"
    - "polynomial bounds for the grid minor theorem"
    - "polynomial gap extensions of the erd h o s p osa theorem"

Connected through hyperedge HE-6 (induced by source paper "partitioning a graph into small pieces with applications to path transversal"):
  with members:
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"
    - "hardness of approximation for h free edge modification problems"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "the complexity of approximating vertex expansion"
    - "fixed parameter and approximation algorithms a new look"
    - "polynomial integrality gaps for strong sdp relaxations of densest k subgraph"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

Connected through hyperedge HE-7 (induced by source paper "cutwidth obstructions and algorithmic aspects"):
  with members:
    - "faster computation of path width"
    - "an o log opt approximation for covering and packing minor models of theta _r"

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)