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: "bypassing erd h o s girth conjecture hybrid stretch and sourcewise spanners"
  Abstract: An $(\alpha,\beta)$-spanner of an $n$-vertex graph $G=(V,E)$ is a subgraph $H$ of $G$ satisfying that $dist(u, v, H) \leq \alpha \cdot dist(u, v, G)+\beta$ for every pair $(u, v)\in V \times V$, where $dist(u,v,G')$ denotes the distance between $u$ and $v$ in $G' \subseteq G$. It is known that for every integer $k \geq 1$, every graph $G$ has a polynomially constructible $(2k-1,0)$-spanner of size $O(n^{1+1/k})$. This size-stretch bound is essentially optimal by the girth conjecture. It is therefore intriguing to ask if one can "bypass" the conjecture by settling for a multiplicative stretch of $2k-1$ only for \emph{neighboring} vertex pairs, while maintaining a strictly \emph{better} multiplicative stretch for the rest of the pairs. We answer this question in the affirmative and introduce the notion of \emph{$k$-hybrid spanners}, in which non neighboring vertex pairs enjoy a \emph{multiplicative} $k$-stretch and the neighboring vertex pairs enjoy a \emph{multiplicative} $(2k-1)$ stretch (hence, tight by the conjecture). We show that for every unweighted $n$-vertex graph $G$ with $m$ edges, there is a (polynomially constructible) $k$-hybrid spanner with $O(k^2 \cdot n^{1+1/k})$ edges. \indent An alternative natural approach to bypass the girth conjecture is to allow ourself to take care only of a subset of pairs $S \times V$ for a given subset of vertices $S \subseteq V$ referred to here as \emph{sources}. Spanners in which the distances in $S \times V$ are bounded are referred to as \emph{sourcewise spanners}. Several constructions for this variant are provided (e.g., multiplicative sourcewise spanners, additive sourcewise spanners and more).

Connected through hyperedge HE-1 (induced by source paper "efficient enumeration of subgraphs and induced subgraphs with bounded girth"):
  with members:
    - "efficient enumeration of dominating sets for sparse graphs"
    - "efficient enumeration of induced subtrees in a k degenerate graph"
    - "computing the girth of a planar graph in linear time"

Connected through hyperedge HE-2 (induced by source paper "reachability preservers new extremal bounds and approximation algorithms"):
  with members:
    - "steiner point removal with distortion o log k"
    - "steiner point removal distant terminals don t really bother"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "linear size distance preservers"
    - "graph minors for preserving terminal distances approximately lower and upper bounds"
    - "dual failure resilient bfs structure"
    - "the 4 3 additive spanner exponent is tight"
    - "sparse fault tolerant bfs trees"

Connected through hyperedge HE-3 (induced by source paper "linear size distance preservers"):
  with members:
    - "thorup zwick emulators are universally optimal hopsets"
    - "distance preserving subgraphs of interval graphs"
    - "multiple source dual fault tolerant bfs trees"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "a linear size logarithmic stretch path reporting distance oracle for general graphs"
    - "dual failure resilient bfs structure"
    - "very sparse additive spanners and emulators"
    - "better distance preservers and additive spanners"

Connected through hyperedge HE-4 (induced by source paper "distributed construction of purely additive spanners"):
  with members:
    - "better distance preservers and additive spanners"
    - "the 4 3 additive spanner exponent is tight"
    - "additive spanners a simple construction"
    - "approximation of distances and shortest paths in the broadcast congest clique"
    - "distributed minimum cut approximation"
    - "distributed connectivity decomposition"
    - "on pairwise spanners"
    - "global computation in a poorly connected world fast rumor spreading with no dependence on conductance"

Connected through hyperedge HE-5 (induced by source paper "a hierarchy of lower bounds for sublinear additive spanners"):
  with members:
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "a linear size logarithmic stretch path reporting distance oracle for general graphs"
    - "very sparse additive spanners and emulators"
    - "better distance preservers and additive spanners"
    - "the 4 3 additive spanner exponent is tight"
    - "additive spanners a simple construction"
    - "on pairwise spanners"
    - "on the hardness of distance oracle for sparse graph"

Connected through hyperedge HE-6 (induced by source paper "the 4 3 additive spanner exponent is tight"):
  with members:
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "linear size distance preservers"
    - "very sparse additive spanners and emulators"
    - "better distance preservers and additive spanners"
    - "additive spanners a simple construction"
    - "on pairwise spanners"
    - "collective additive tree spanners of bounded tree breadth graphs with generalizations and consequences"

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)