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: "preserving terminal distances using minors"
  Abstract: We introduce the following notion of compressing an undirected graph G with edge-lengths and terminal vertices $R\subseteq V(G)$. A distance-preserving minor is a minor G' (of G) with possibly different edge-lengths, such that $R\subseteq V(G')$ and the shortest-path distance between every pair of terminals is exactly the same in G and in G'. What is the smallest f*(k) such that every graph G with k=|R| terminals admits a distance-preserving minor G' with at most f*(k) vertices? #R##N#Simple analysis shows that $f*(k)\leq O(k^4)$. Our main result proves that $f*(k)\geq \Omega(k^2)$, significantly improving over the trivial $f*(k)\geq k$. Our lower bound holds even for planar graphs G, in contrast to graphs G of constant treewidth, for which we prove that O(k) vertices suffice.

Connected through hyperedge HE-1 (induced by source paper "minimizing branching vertices in distance preserving subgraphs"):
  with members:
    - "steiner point removal with distortion o log k"
    - "distance preserving subgraphs of interval graphs"
    - "linear size distance preservers"
    - "vertex sparsifiers new results from old techniques"
    - "vertex sparsifiers and abstract rounding algorithms"
    - "spectral sparsification of graphs"

Connected through hyperedge HE-2 (induced by source paper "cutting corners cheaply or how to remove steiner points"):
  with members:
    - "vertex sparsifiers new results from old techniques"
    - "on vertex sparsifiers with steiner nodes"
    - "vertex sparsifiers and abstract rounding algorithms"
    - "metric extension operators vertex sparsifiers and lipschitz extendability"
    - "twice ramanujan sparsifiers"
    - "ramsey partitions and proximity data structures"

Connected through hyperedge HE-3 (induced by source paper "mimicking networks and succinct representations of terminal cuts"):
  with members:
    - "vertex sparsifiers new results from old techniques"
    - "on vertex sparsifiers with steiner nodes"
    - "vertex sparsifiers and abstract rounding algorithms"
    - "metric extension operators vertex sparsifiers and lipschitz extendability"
    - "twice ramanujan sparsifiers"

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)