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: "steiner point removal with distortion o log k"
  Abstract: In the Steiner point removal (SPR) problem, we are given a weighted graph $G=(V,E)$ and a set of terminals $K\subset V$ of size $k$. The objective is to find a minor $M$ of $G$ with only the terminals as its vertex set, such that the distance between the terminals will be preserved up to a small multiplicative distortion. Kamma, Krauthgamer and Nguyen [KKN15] used a ball-growing algorithm with exponential distributions to show that the distortion is at most $O(\log^5 k)$. Cheung [Che17] improved the analysis of the same algorithm, bounding the distortion by $O(\log^2 k)$. We improve the analysis of this ball-growing algorithm even further, bounding the distortion by $O(\log k)$.

Connected through hyperedge HE-1 (induced by source paper "scattering and sparse partitions and their applications"):
  with members:
    - "lossless prioritized embeddings"
    - "labelings vs embeddings on distributed representations of distances"
    - "on strong diameter padded decompositions"
    - "a face cover perspective to ell_1 embeddings of planar graphs"
    - "flow cut gaps and face covers in planar graphs"
    - "near isometric terminal embeddings for doubling metrics"
    - "light spanners for high dimensional norms via stochastic decompositions"
    - "improved guarantees for vertex sparsification in planar graphs"

Connected through hyperedge HE-2 (induced by source paper "minimizing branching vertices in distance preserving subgraphs"):
  with members:
    - "distance preserving subgraphs of interval graphs"
    - "linear size distance preservers"
    - "vertex sparsifiers new results from old techniques"
    - "preserving terminal distances using minors"
    - "vertex sparsifiers and abstract rounding algorithms"
    - "spectral sparsification of graphs"

Connected through hyperedge HE-3 (induced by source paper "relaxed voronoi a simple framework for terminal clustering problems"):
  with members:
    - "steiner point removal with distortion o log k using the noisy voronoi algorithm"
    - "steiner point removal distant terminals don t really bother"
    - "random rates for 0 extension and low diameter decompositions"
    - "parallel graph decompositions using random shifts"

Connected through hyperedge HE-4 (induced by source paper "refined vertex sparsifiers of planar graphs"):
  with members:
    - "relaxed voronoi a simple framework for terminal clustering problems"
    - "improved guarantees for vertex sparsification in planar graphs"
    - "an exponential lower bound for cut sparsifiers in planar graphs"
    - "steiner point removal distant terminals don t really bother"
    - "graph minors for preserving terminal distances approximately lower and upper bounds"
    - "vertex sparsifiers new results from old techniques"
    - "on vertex sparsifiers with steiner nodes"
    - "mimicking networks and succinct representations of terminal cuts"

Connected through hyperedge HE-5 (induced by source paper "reachability preservers new extremal bounds and approximation algorithms"):
  with members:
    - "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"
    - "bypassing erd h o s girth conjecture hybrid stretch and sourcewise spanners"
    - "sparse fault tolerant bfs trees"

Connected through hyperedge HE-6 (induced by source paper "improved guarantees for vertex sparsification in planar graphs"):
  with members:
    - "steiner point removal distant terminals don t really bother"
    - "near optimal compression for the planar graph metric"
    - "reachability preservers new extremal bounds and approximation algorithms"
    - "a hierarchy of lower bounds for sublinear additive spanners"
    - "linear size distance preservers"
    - "graph minors for preserving terminal distances approximately lower and upper bounds"
    - "the 4 3 additive spanner exponent is tight"
    - "routing in undirected graphs with constant congestion"

Connected through hyperedge HE-7 (induced by source paper "distance preserving subgraphs of interval graphs"):
  with members:
    - "improved guarantees for vertex sparsification in planar graphs"
    - "linear size distance preservers"
    - "graph minors for preserving terminal distances approximately lower and upper bounds"
    - "logarithmic lower bounds in the cell probe model"

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)