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: "problems parameterized by treewidth tractable in single exponential time a logical approach"
  Abstract: We introduce a variant of modal logic, dubbed EXISTENTIAL COUNTING MODAL LOGIC (ECML), which captures a vast majority of problems known to be tractable in single exponential time when parameterized by treewidth. It appears that all these results can be subsumed by the theorem that model checking of ECML admits an algorithm with such complexity. We extend ECML by adding connectivity requirements and, using the CutC however, using randomization. The need for navigationality of the introduced logic is justified by a negative result that two expository problems involving non-acyclic conditions, C_l VERTEX DELETION and GIRTH>l VERTEX DELETION for l>=5, do not admit such a robust algorithm unless Exponential Time Hypothesis fails.

Connected through hyperedge HE-1 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs"):
  with members:
    - "a complexity dichotomy for hitting connected minors on bounded treewidth graphs the chair and the banner draw the boundary"
    - "feedback vertex set inspired kernel for chordal vertex deletion"
    - "approximation and kernelization for chordal vertex deletion"
    - "polynomial kernels for weighted problems"
    - "linear recognition of almost interval graphs"
    - "large induced subgraphs via triangulations and cmso"
    - "data reduction for graph coloring problems"
    - "interval deletion is fixed parameter tractable"

Connected through hyperedge HE-2 (induced by source paper "subexponential time algorithms for finding large induced sparse subgraphs"):
  with members:
    - "deleting vertices to graphs of bounded genus"
    - "polynomial time algorithm for maximum weight independent set on p_6 free graphs"
    - "exact algorithms via monotone local search"
    - "tight running time lower bounds for vertex deletion problems"
    - "hitting forbidden subgraphs in graphs of bounded treewidth"
    - "large induced subgraphs via triangulations and cmso"
    - "largest chordal and interval subgraphs faster than 2 n"
    - "finding a maximum induced degenerate subgraph faster than 2 n"

Connected through hyperedge HE-3 (induced by source paper "fine grained complexity of graph homomorphism problem for bounded treewidth graphs"):
  with members:
    - "deleting vertices to graphs of bounded genus"
    - "tight lower bounds on graph embedding problems"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-4 (induced by source paper "slightly superexponential parameterized problems"):
  with members:
    - "parameterized vertex deletion problems for hereditary graph classes with a block property"
    - "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"
    - "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-5 (induced by source paper "simplified algorithmic metatheorems beyond mso treewidth and neighborhood diversity"):
  with members:
    - "parameterized complexity of fair deletion problems"
    - "the graph motif problem parameterized by the structure of the input graph"
    - "on the parameterized complexity of recognizing well covered r l graphs"
    - "algorithms and hardness results for happy coloring problems"
    - "anti path cover on sparse graph classes"
    - "target set selection in dense graph classes"
    - "extension complexity mso logic and treewidth"
    - "on the parameterized complexity of computing balanced partitions in graphs"

Connected through hyperedge HE-6 (induced by source paper "being even slightly shallow makes life hard"):
  with members:
    - "kernelization and sparseness the case of dominating set"
    - "kernelization using structural parameters on sparse graph classes"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "minimum weight triangulation is np hard"

Connected through hyperedge HE-7 (induced by source paper "a fast parameterized algorithm for co path set"):
  with members:
    - "solving connectivity problems parameterized by treewidth in single exponential time"

Connected through hyperedge HE-8 (induced by source paper "linear kernels for outbranching problems in sparse digraphs"):
  with members:
    - "bidimensionality and kernels"
    - "kernelization and sparseness the case of dominating set"
    - "kernelization using structural parameters on sparse graph classes"
    - "network sparsification for steiner problems on planar and bounded genus graphs"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "beyond bidimensionality parameterized subexponential algorithms on directed graphs"
    - "on finding directed trees with many leaves"
    - "on complexity of minimum leaf out branching problem"

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)