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: "linear size hopsets with small hopbound and distributed routing with low memory"
  Abstract: For a positive parameter $\beta$, the $\beta$-bounded distance between a pair of vertices $u,v$ in a weighted undirected graph $G = (V,E,\omega)$ is the length of the shortest $u-v$ path in $G$ with at most $\beta$ edges, aka {\em hops}. For $\beta$ as above and $\epsilon>0$, a {\em $(\beta,\epsilon)$-hopset} of $G = (V,E,\omega)$ is a graph $G' =(V,H,\omega_H)$ on the same vertex set, such that all distances in $G$ are $(1+\epsilon)$-approximated by $\beta$-bounded distances in $G\cup G'$. #R##N#Hopsets are a fundamental graph-theoretic and graph-algorithmic construct, and they are widely used for distance-related problems in a variety of computational settings. Currently existing constructions of hopsets produce hopsets either with $\Omega(n \log n)$ edges, or with a hopbound $n^{\Omega(1)}$. In this paper we devise a construction of {\em linear-size} hopsets with hopbound $(\log n)^{\log^{(3)}n+O(1)}$. This improves the previous bound almost exponentially. #R##N#We also devise efficient implementations of our construction in PRAM and distributed settings. The only existing PRAM algorithm \cite{EN16} for computing hopsets with a constant (i.e., independent of $n$) hopbound requires $n^{\Omega(1)}$ time. We devise a PRAM algorithm with polylogarithmic running time for computing hopsets with a constant hopbound, i.e., our running time is exponentially better than the previous one. Moreover, these hopsets are also significantly sparser than their counterparts from \cite{EN16}. #R##N#We use our hopsets to devise a distributed routing scheme that exhibits near-optimal tradeoff between individual memory requirement $\tilde{O}(n^{1/k})$ of vertices throughout preprocessing and routing phases of the algorithm, and stretch $O(k)$, along with a near-optimal construction time $\approx D + n^{1/2 + 1/k}$, where $D$ is the hop-diameter of the input graph.

Connected through hyperedge HE-1 (induced by source paper "exponentially faster shortest paths in the congested clique"):
  with members:
    - "near additive spanners and near exact hopsets a unified view"
    - "near additive spanners in low polynomial deterministic congest time"
    - "fast approximate shortest paths in the congested clique"
    - "congested clique algorithms for graph spanners"
    - "sparse matrix multiplication and triangle listing in the congested clique model"
    - "thorup zwick emulators are universally optimal hopsets"
    - "towards a complexity theory for the congested clique"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"

Connected through hyperedge HE-2 (induced by source paper "fast approximate shortest paths in the congested clique"):
  with members:
    - "delta 1 coloring in the congested clique model"
    - "congested clique algorithms for graph spanners"
    - "sparse matrix multiplication and triangle listing in the congested clique model"
    - "towards tight approximation bounds for graph diameter and eccentricities"
    - "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"
    - "distributed triangle detection via expander decomposition"
    - "distributed exact weighted all pairs shortest paths in near linear time"
    - "mst in o 1 rounds of the congested clique"

Connected through hyperedge HE-3 (induced by source paper "new alpha beta spanners and hopsets"):
  with members:
    - "almost shortest paths and pram distance oracles in weighted graphs"
    - "thorup zwick emulators are universally optimal hopsets"
    - "distributed exact shortest paths in sublinear time"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "on efficient distributed construction of near optimal routing schemes"
    - "parallel metric tree embedding based on an algebraic view on moore bellman ford"

Connected through hyperedge HE-4 (induced by source paper "exploiting hopsets improved distance oracles for graphs of constant highway dimension and beyond"):
  with members:
    - "fast and compact exact distance oracle for planar graphs"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "algorithmic and hardness results for the hub labeling problem"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "sublinear space distance labeling using hubs"
    - "sublinear distance labeling"

Connected through hyperedge HE-5 (induced by source paper "some problems in compact message passing"):
  with members:
    - "a self stabilizing general de bruijn graph"
    - "the computational power of beeps"
    - "fast partial distance estimation and applications"
    - "dex self healing expanders"
    - "algorithms for self healing networks"
    - "the forgiving graph a distributed data structure for low stretch under adversarial attack"
    - "the forgiving tree a self healing distributed data structure"
    - "general compact labeling schemes for dynamic trees"

Connected through hyperedge HE-6 (induced by source paper "exact distance oracles using hopsets"):
  with members:
    - "fast and compact exact distance oracle for planar graphs"
    - "beyond highway dimension small distance labels using tree skeletons"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "sublinear space distance labeling using hubs"
    - "transitive closure spanners"

Connected through hyperedge HE-7 (induced by source paper "thorup zwick emulators are universally optimal hopsets"):
  with members:
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "additive spanners a simple construction"
    - "decremental single source shortest paths on undirected graphs in near linear total update time"
    - "improved parallel algorithms for spanners and hopsets"

Connected through hyperedge HE-8 (induced by source paper "decremental single source shortest paths on undirected graphs in near linear total update time"):
  with members:
    - "deterministic partially dynamic single source shortest paths in weighted graphs"
    - "thorup zwick emulators are universally optimal hopsets"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "improved algorithms for decremental single source reachability on directed graphs"
    - "sublinear time decremental algorithms for single source reachability and shortest paths on directed graphs"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "distributed approximation algorithms for weighted shortest 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)