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: "everything you always wanted to know about the parameterized complexity of subgraph isomorphism but were afraid to ask"
  Abstract: Given two graphs $H$ and $G$, the Subgraph Isomorphism problem asks if $H$ is isomorphic to a subgraph of $G$. While NP-hard in general, algorithms exist for various parameterized versions of the problem: for example, the problem can be solved (1) in time $2^{O(|V(H)|)}\cdot n^{O(\tw(H))}$ using the color-coding technique of Alon, Yuster, and Zwick; (2) in time $f(|V(H)|,\tw(G))\cdot n$ using Courcelle's Theorem; (3) in time $f(|V(H)|,\genus(G))\cdot n$ using a result on first-order model checking by Frick and Grohe; or (4) in time $f(\maxdeg(H))\cdot n^{O(\tw(G)})$ for connected $H$ using the algorithm of Matou\v{s}ek and Thomas. Already this small sample of results shows that the way an algorithm can depend on the parameters is highly nontrivial and subtle. #R##N#We develop a framework involving 10 relevant parameters for each of $H$ and $G$ (such as treewidth, pathwidth, genus, maximum degree, number of vertices, number of components, etc.), and ask if an algorithm with running time \[ f_1(p_1,p_2,..., p_\ell)\cdot n^{f_2(p_{\ell+1},..., p_k)} \] exist, where each of $p_1,..., p_k$ is one of the 10 parameters depending only on $H$ or $G$. We show that {\em all} the questions arising in this framework are answered by a set of 11 maximal positive results (algorithms) and a set of 17 maximal negative results (hardness proofs); some of these results already appear in the literature, while others are new in this paper. #R##N#On the algorithmic side, our study reveals for example that an unexpected combination of bounded degree, genus, and feedback vertex set number of $G$ gives rise to a highly nontrivial algorithm for Subgraph Isomorphism. On the hardness side, we present W[1]-hardness proofs under extremely restricted conditions, such as when $H$ is a bounded-degree tree of constant pathwidth and $G$ is a planar graph of bounded pathwidth.

Connected through hyperedge HE-1 (induced by source paper "almost tight lower bounds for hard cutting problems in embedded graphs"):
  with members:
    - "a framework for eth tight algorithms and lower bounds in geometric intersection graphs"
    - "computational topology of graphs on surfaces"
    - "on subexponential parameterized algorithms for steiner tree and directed subset tsp on planar graphs"
    - "subexponential parameterized algorithms for planar and apex minor free graphs via low treewidth pattern covering"
    - "a near linear approximation scheme for multicuts of embedded graphs with a fixed number of terminals"
    - "the limited blessing of low dimensionality when 1 1 d is the best possible exponent for d dimensional geometric problems"
    - "optimal parameterized algorithms for planar facility location problems using voronoi diagrams"
    - "multicuts in planar and bounded genus graphs with bounded number of terminals"

Connected through hyperedge HE-2 (induced by source paper "subgraph isomorphism on graph classes that exclude a substructure"):
  with members:
    - "tight lower bounds on graph embedding problems"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "surface split decompositions and subgraph isomorphism in graphs on surfaces"
    - "planar subgraph isomorphism revisited"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-3 (induced by source paper "quadratic and near quadratic lower bounds for the congest model"):
  with members:
    - "distributed exact shortest paths in sublinear time"
    - "a time hierarchy theorem for the local model"
    - "distributed approximation of maximum independent set and maximum matching"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "distributed construction of purely additive spanners"
    - "algebraic methods in the congested clique"
    - "threesomes degenerates and love triangles"

Connected through hyperedge HE-4 (induced by source paper "the set cover conjecture and subgraph isomorphism with a tree pattern"):
  with members:
    - "seth based lower bounds for subset sum and bicriteria path"
    - "finding large set covers faster via the representation method"
    - "on problems as hard as cnf sat"
    - "on the equivalence among problems of bounded width"
    - "below all subsets for some permutational counting problems"
    - "constrained multilinear detection and generalized graph motifs"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"

Connected through hyperedge HE-5 (induced by source paper "the hardness of embedding grids and walls"):
  with members:
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "the parameterized complexity of k biclique"
    - "one hierarchy spawns another graph deconstructions and the complexity classification of conjunctive queries"
    - "subgraph isomorphism in planar graphs and related problems"

Connected through hyperedge HE-6 (induced by source paper "tight lower bounds on graph embedding problems"):
  with members:
    - "determinant sums for undirected hamiltonicity"
    - "bandwidth and distortion revisited"
    - "3 coloring in time o 1 3289 n"

Connected through hyperedge HE-7 (induced by source paper "subtree isomorphism revisited"):
  with members:
    - "the hardness of subgraph isomorphism"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"

Connected through hyperedge HE-8 (induced by source paper "on the complexity of computing the k restricted edge connectivity of a graph"):
  with members:
    - "parameterized algorithms for min max multiway cut and list digraph homomorphism"
    - "a parameterized algorithm for mixed cut"
    - "minimum bisection is fixed parameter tractable"
    - "kernelization lower bounds by cross composition"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "minimum k way cut of bounded size is fixed parameter tractable"

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)