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: "known algorithms on graphs of bounded treewidth are probably optimal"
  Abstract: We obtain a number of lower bounds on the running time of algorithms solving problems on graphs of bounded treewidth. We prove the results under the Strong Exponential Time Hypothesis of Impagliazzo and Paturi. In particular, assuming that SAT cannot be solved in (2-\epsilon)^{n}m^{O(1)} time, we show that for any e > 0; {\sc Independent Set} cannot be solved in (2-e)^{tw(G)}|V(G)|^{O(1)} time, {\sc Dominating Set} cannot be solved in (3-e)^{tw(G)}|V(G)|^{O(1)} time, {\sc Max Cut} cannot be solved in (2-e)^{tw(G)}|V(G)|^{O(1)} time, {\sc Odd Cycle Transversal} cannot be solved in (3-e)^{tw(G)}|V(G)|^{O(1)} time, For any $q \geq 3$, $q$-{\sc Coloring} cannot be solved in (q-e)^{tw(G)}|V(G)|^{O(1)} time, {\sc Partition Into Triangles} cannot be solved in (2-e)^{tw(G)}|V(G)|^{O(1)} time. Our lower bounds match the running times for the best known algorithms for the problems, up to the e in the base.

Connected through hyperedge HE-1 (induced by source paper "on the complexity of finding large odd induced subgraphs and odd colorings"):
  with members:
    - "slightly superexponential parameterized problems"
    - "rank based approach on graphs with structured neighborhood"
    - "on weak odd domination and graph based quantum secret sharing"
    - "finding even subgraphs even faster"
    - "better algorithms for satisfiability problems for formulas of bounded rank width"

Connected through hyperedge HE-2 (induced by source paper "solving connectivity problems parameterized by treedepth in single exponential time and polynomial space"):
  with members:
    - "fast exact algorithms for some connectivity problems parametrized by clique width"
    - "representative sets of product families"
    - "solving connectivity problems parameterized by treewidth in single exponential time"

Connected through hyperedge HE-3 (induced by source paper "an optimal algorithm for bisection for bounded treewidth graphs"):
  with members:
    - "clustered integer 3sum via additive combinatorics"

Connected through hyperedge HE-4 (induced by source paper "on problems equivalent to min convolution"):
  with members:
    - "how hard is it to find honest witnesses"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on problems as hard as cnf sat"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "clustered integer 3sum via additive combinatorics"
    - "a faster fptas for the unbounded knapsack problem"
    - "a faster pseudopolynomial time algorithm for subset sum"

Connected through hyperedge HE-5 (induced by source paper "new algorithms for mixed dominating set"):
  with members:
    - "parameterized orientable deletion"
    - "tight approximation ratio for minimum maximal matching"
    - "finer tight bounds for coloring on clique width"
    - "structurally parameterized d scattered set"
    - "structural parameters tight bounds and approximation for k r center"
    - "an efficient algorithm for mixed domination on generalized series parallel graphs"
    - "fine grained parameterized complexity analysis of graph coloring problems"
    - "on fixed parameter tractability of the mixed domination problem for graphs with bounded tree width"

Connected through hyperedge HE-6 (induced by source paper "parameterized complexity of conflict free graph coloring"):
  with members:
    - "optimal data reduction for graph coloring using low degree polynomials"
    - "optimal sparsification for some binary csps using low degree polynomials"
    - "data reduction for graph coloring problems"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-7 (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"
    - "problems parameterized by treewidth tractable in single exponential time a logical approach"

Connected through hyperedge HE-8 (induced by source paper "more consequences of falsifying seth and the orthogonal vectors conjecture"):
  with members:
    - "on the fine grained complexity of empirical risk minimization kernel methods and neural networks"
    - "conditional lower bounds for all pairs max flow"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "distributed pcp theorems for hardness of approximation in p"
    - "tree edit distance cannot be computed in strongly subcubic time unless apsp can"
    - "fine grained complexity of analyzing compressed data quantifying improvements over decompress and solve"
    - "improving viterbi is hard better runtimes imply faster clique algorithms"
    - "on the hardness of partially dynamic graph problems and connections to diameter"

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)