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: "nearly tight low stretch spanning trees"
  Abstract: We prove that any graph $G$ with $n$ points has a distribution $\mathcal{T}$ over spanning trees such that for any edge $(u,v)$ the expected stretch $E_{T \sim \mathcal{T}}[d_T(u,v)/d_G(u,v)]$ is bounded by $\tilde{O}(\log n)$. Our result is obtained via a new approach of building ``highways'' between portals and a new strong diameter probabilistic decomposition theorem.

Connected through hyperedge HE-1 (induced by source paper "2 node connectivity network design"):
  with members:
    - "breaching the 2 approximation barrier for connectivity augmentation a reduction to steiner tree"
    - "approximating k connected m dominating sets"
    - "improved approximation for tree augmentation saving by rewiring"
    - "approximation algorithm for minimum weight fault tolerant virtual backbone in unit disk graphs"
    - "on the tree augmentation problem"
    - "a simplified 1 5 approximation algorithm for augmenting edge connectivity of a graph from 1 to 2"
    - "improved approximation algorithms for budgeted node weighted steiner problems"
    - "lower stretch spanning trees"

Connected through hyperedge HE-2 (induced by source paper "dynamic low stretch trees via dynamic low diameter decompositions"):
  with members:
    - "faster distributed shortest path approximations via shortcuts"
    - "expander decomposition and pruning faster stronger and simpler"
    - "a deamortization approach for dynamic spanner and dynamic maximal matching"
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "on fully dynamic graph sparsifiers"

Connected through hyperedge HE-3 (induced by source paper "low diameter graph decompositions by approximate distance computation"):
  with members:
    - "dynamic low stretch trees via dynamic low diameter decompositions"
    - "a faster distributed single source shortest paths algorithm"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "hopsets with constant hopbound and applications to approximate shortest paths"
    - "on the complexity of local distributed graph problems"
    - "parallel metric tree embedding based on an algebraic view on moore bellman ford"
    - "near optimal distributed maximum flow"
    - "simple parallel and distributed algorithms for spectral graph sparsification"

Connected through hyperedge HE-4 (induced by source paper "electrical flows over spanning trees"):
  with members:
    - "graph sparsification spectral sketches and faster resistance computation via short cycle decompositions"
    - "solving directed laplacian systems in nearly linear time through sparse lu factorizations"
    - "sampling random spanning trees faster than matrix multiplication"
    - "computing maximum flow with augmenting electrical flows"
    - "effective resistance reducing flows spectrally thin trees and asymmetric tsp"
    - "a simple combinatorial algorithm for solving sdd systems in nearly linear time"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"
    - "graph sparsification by effective resistances"

Connected through hyperedge HE-5 (induced by source paper "an o log 2 n approximation algorithm for 2 edge connected dominating set"):
  with members:
    - "approximating k connected m dominating sets"
    - "approximation algorithm for minimum weight fault tolerant virtual backbone in unit disk graphs"
    - "analyzing the optimal neighborhood algorithms for budgeted and partial connected dominating set problems"
    - "lower stretch spanning trees"

Connected through hyperedge HE-6 (induced by source paper "spanning tree congestion and computation of generalized gy h o ri lov a sz partition"):
  with members:
    - "tight bounds for the min max boundary decomposition cost of weighted graphs"

Connected through hyperedge HE-7 (induced by source paper "on notions of distortion and an almost minimum spanning tree with constant average distortion"):
  with members:
    - "constructing light spanners deterministically in near linear time"
    - "the greedy spanner is existentially optimal"
    - "prioritized metric structures and embedding"
    - "embedding metrics into ultrametrics and graphs into spanning trees with constant average distortion"
    - "lower stretch spanning trees"

Connected through hyperedge HE-8 (induced by source paper "quasimetric embeddings and their applications"):
  with members:
    - "randomly removing g handles at once"
    - "optimal stochastic planarization"
    - "measured descent a new embedding method for finite metrics"

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)