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: "trimmed moebius inversion and graphs of bounded degree"
  Abstract: We study ways to expedite Yates's algorithm for computing the zeta and Moebius transforms of a function defined on the subset lattice. We develop a trimmed variant of Moebius inversion that proceeds point by point, finishing the calculation at a subset before considering its supersets. For an $n$-element universe $U$ and a family $\scr F$ of its subsets, trimmed Moebius inversion allows us to compute the number of packings, coverings, and partitions of $U$ with $k$ sets from $\scr F$ in time within a polynomial factor (in $n$) of the number of supersets of the members of $\scr F$. Relying on an intersection theorem of Chung et al. (1986) to bound the sizes of set families, we apply these ideas to well-studied combinatorial optimisation problems on graphs of maximum degree $\Delta$. In particular, we show how to compute the Domatic Number in time within a polynomial factor of $(2^{\Delta+1-2)^{n/(\Delta+1)$ and the Chromatic Number in time within a polynomial factor of $(2^{\Delta+1-\Delta-1)^{n/(\Delta+1)$. For any constant $\Delta$, these bounds are $O\bigl((2-\epsilon)^n\bigr)$ for $\epsilon>0$ independent of the number of vertices $n$.

Connected through hyperedge HE-1 (induced by source paper "finding hamiltonian cycle in graphs of bounded treewidth experimental evaluation"):
  with members:
    - "slightly superexponential parameterized problems"
    - "computing tree decompositions with flowcutter pace 2017 submission"
    - "speeding up dynamic programming with representative sets an experimental evaluation of algorithms for steiner tree on tree decompositions"
    - "fast hamiltonicity checking via bases of perfect matchings"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "determinant sums for undirected hamiltonicity"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-2 (induced by source paper "designing deterministic polynomial space algorithms by color coding multivariate polynomials"):
  with members:
    - "directed hamiltonicity and out branchings via generalized laplacians"
    - "spotting trees with few leaves"
    - "complexity results for rainbow matchings"
    - "fast algorithms for parameterized problems with relaxed disjointness constraints"
    - "representative families a unified tradeoff based approach"
    - "mixing color coding related techniques"
    - "abusing the tutte matrix an algebraic instance compression for the k set cycle problem"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-3 (induced by source paper "families with infants speeding up algorithms for np hard problems using fft"):
  with members:
    - "families with infants a general approach to solve hard partition problems"
    - "faster exponential time algorithms in graphs of bounded average degree"
    - "a new direction for counting perfect matchings"
    - "fast hamiltonicity checking via bases of perfect matchings"
    - "counting perfect matchings as fast as ryser"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"

Connected through hyperedge HE-4 (induced by source paper "counting thin subgraphs via packings faster than meet in the middle time"):
  with members:
    - "homomorphisms are a good basis for counting small subgraphs"
    - "matrix multiplication trilinear decompositions apa algorithms and summation"
    - "powers of tensors and fast matrix multiplication"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "below all subsets for some permutational counting problems"
    - "faster algorithms for rectangular matrix multiplication"
    - "counting paths and packings in halves"
    - "the fast intersection transform with applications to counting paths"

Connected through hyperedge HE-5 (induced by source paper "faster exponential time algorithms in graphs of bounded average degree"):
  with members:
    - "on problems as hard as cnf sat"
    - "families with infants a general approach to solve hard partition problems"
    - "a new direction for counting perfect matchings"
    - "counting perfect matchings as fast as ryser"
    - "determinant sums for undirected hamiltonicity"
    - "known algorithms on graphs of bounded treewidth are probably optimal"

Connected through hyperedge HE-6 (induced by source paper "families with infants a general approach to solve hard partition problems"):
  with members:
    - "faster exponential time algorithms in graphs of bounded average degree"
    - "a new direction for counting perfect matchings"
    - "fast hamiltonicity checking via bases of perfect matchings"
    - "counting perfect matchings as fast as ryser"
    - "determinant sums for undirected hamiltonicity"

Connected through hyperedge HE-7 (induced by source paper "fast hamiltonicity checking via bases of perfect matchings"):
  with members:
    - "on problems as hard as cnf sat"
    - "solving weighted and counting variants of connectivity problems parameterized by treewidth deterministically in single exponential time"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "determinant sums for undirected hamiltonicity"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "the traveling salesman problem for cubic graphs"

Connected through hyperedge HE-8 (induced by source paper "invitation to algorithmic uses of inclusion exclusion"):
  with members:
    - "narrow sieves for parameterized paths and packings"

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)