human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "losing treewidth by separating subsets"):
  Abstract: We study the problem of deleting the smallest set $S$ of vertices (resp.\ edges) from a given graph $G$ such that the induced subgraph (resp.\ subgraph) $G \setminus S$ belongs to some class $\mathcal{H}$. #R##N#We consider the case where graphs in $\mathcal{H}$ have treewidth bounded by $t$, and give a general framework to obtain approximation algorithms for both vertex and edge-deletion settings from approximation algorithms for certain natural graph partitioning problems called $k$-Subset Vertex Separator and $k$-Subset Edge Separator, respectively. #R##N#For the vertex deletion setting, our framework combined with the current best result for $k$-Subset Vertex Separator, yields a significant improvement in the approximation ratios for basic problems such as $k$-Treewidth Vertex Deletion and Planar-$F$ Vertex Deletion. Our algorithms are simpler than previous works and give the first uniform approximation algorithms under the natural parameterization. #R##N#For the edge deletion setting, we give improved approximation algorithms for $k$-Subset Edge Separator combining ideas from LP relaxations and important separators. We present their applications in bounded-degree graphs, and also give an APX-hardness result for the edge deletion problems.

Includes members:
  Member "linear kernels for edge deletion problems to immersion closed graph classes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "reducing topological minor containment to the unique linkage theorem")
  Member "parameterized vertex deletion problems for hereditary graph classes with a block property":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "slightly superexponential parameterized problems")
  Member "approximation and kernelization for chordal vertex deletion":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")
  Member "a single exponential fixed parameter algorithm for distance hereditary vertex deletion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "measuring what matters a hybrid approach to dynamic programming with treewidth")
  Member "lp based robust algorithms for noisy minor free and bounded treewidth graphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "covering vectors by spaces in perturbed graphic matroids and their duals")
  Member "partitioning a graph into small pieces with applications to path transversal":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "parameterized complexity of safe set")
  Member "on the computational complexity of vertex integrity and component order connectivity":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure")
  Member "polynomial bounds for the grid minor theorem":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "hitting topological minors is fpt")

Question: Please tell me which class the source paper 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)