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: "counting paths and packings in halves"
  Abstract: It is shown that one can count $k$-edge paths in an $n$-vertex graph and $m$-set $k$-packings on an $n$-element universe, respectively, in time ${n \choose k/2}$ and ${n \choose mk/2}$, up to a factor polynomial in $n$, $k$, and $m$; in polynomial space, the bounds hold if multiplied by $3^{k/2}$ or $5^{mk/2}$, respectively. These are implications of a more general result: given two set families on an $n$-element universe, one can count the disjoint pairs of sets in the Cartesian product of the two families with $\nO(n \ell)$ basic operations, where $\ell$ is the number of members in the two families and their subsets.

Connected through hyperedge HE-1 (induced by source paper "parallel algorithms for small subgraph counting"):
  with members:
    - "log diameter rounds algorithms for 2 vertex and 2 edge connectivity"
    - "dynamic algorithms for the massively parallel computation model"
    - "linear time subgraph counting graph degeneracy and the chasm at size six"
    - "exponentially faster massively parallel maximal matching"
    - "faster algorithms for edge connectivity via random 2 out contractions"
    - "massively parallel algorithms for finding well connected components in sparse graphs"
    - "approximating edit distance in truly subquadratic time quantum and mapreduce"
    - "sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation"

Connected through hyperedge HE-2 (induced by source paper "linear time subgraph counting graph degeneracy and the chasm at size six"):
  with members:
    - "a simple sublinear time algorithm for counting arbitrary subgraphs via edge sampling"
    - "homomorphisms are a good basis for counting small subgraphs"
    - "on approximating the number of k cliques in sublinear time"
    - "combinatorial algorithm for counting small induced graphs and orbits"
    - "escape efficiently counting all 5 vertex subgraphs"
    - "approximately counting triangles in sublinear time"
    - "beyond triangles a distributed framework for estimating 3 profiles of large graphs"
    - "distributed estimation of graph 4 profiles"

Connected through hyperedge HE-3 (induced by source paper "on explicit branching programs for the rectangular determinant and permanent polynomials"):
  with members:
    - "fast exact algorithms using hadamard product of polynomials"
    - "almost settling the hardness of noncommutative determinant"
    - "on the hardness of the noncommutative determinant"
    - "arithmetic circuits and the hadamard product of polynomials"

Connected through hyperedge HE-4 (induced by source paper "homomorphisms are a good basis for counting small subgraphs"):
  with members:
    - "the hardness of embedding grids and walls"
    - "parameterized counting of trees forests and matroid bases"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "exponential time complexity of the permanent and the tutte polynomial"
    - "powers of tensors and fast matrix multiplication"
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "the parameterized complexity of k biclique"

Connected through hyperedge HE-5 (induced by source paper "tensor network complexity of multilinear maps"):
  with members:
    - "spectral methods from tensor networks"
    - "in datacenter performance analysis of a tensor processing unit"
    - "homomorphisms are a good basis for counting small subgraphs"
    - "matrix multiplication trilinear decompositions apa algorithms and summation"
    - "sparse tensor algebra as a parallel programming model"
    - "a framework for practical parallel fast matrix multiplication"
    - "powers of tensors and fast matrix multiplication"
    - "lower bounds on the size of semidefinite programming relaxations"

Connected through hyperedge HE-6 (induced by source paper "complexity of counting subgraphs only the boundedness of the vertex cover number counts"):
  with members:
    - "the challenges of unbounded treewidth in parameterised subgraph counting problems"
    - "the expressibility of functions on the boolean domain with applications to counting csps"
    - "polynomial bounds for the grid minor theorem"
    - "counting thin subgraphs via packings faster than meet in the middle time"
    - "the complexity of weighted and unweighted csp"
    - "efficient triangle counting in large graphs via degree based vertex partitioning"
    - "kernelization of packing problems"
    - "determinant sums for undirected hamiltonicity"

Connected through hyperedge HE-7 (induced by source paper "the challenges of unbounded treewidth in parameterised subgraph counting problems"):
  with members:
    - "complexity of counting subgraphs only the boundedness of the vertex cover number counts"
    - "the parameterized complexity of k biclique"
    - "parameterized analogues of probabilistic computation"
    - "finding and counting vertex colored subtrees"
    - "the parameterised complexity of counting connected subgraphs and graph motifs"
    - "the fine classification of conjunctive queries and parameterized logarithmic space complexity"
    - "efficient triangle counting in large graphs via degree based vertex partitioning"
    - "balanced families of perfect hash functions and their applications"

Connected through hyperedge HE-8 (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"
    - "trimmed moebius inversion and graphs of bounded degree"
    - "the fast intersection transform with applications to counting paths"

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)