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: "a note on cut approximators and approximating undirected max flows"
  Abstract: We show a closer algorithmic connection between constructing cut-approximating hierarchical tree decompositions and computing approximate maximum flows in undirected graphs. This leads to the first O(m polylog(n)) time algorithms for both problems.

Connected through hyperedge HE-1 (induced by source paper "approximating cycles in directed graphs fast algorithms for girth and roundtrip spanners"):
  with members:
    - "routing under balance"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "powers of tensors and fast matrix multiplication"
    - "parallel graph decompositions using random shifts"
    - "faster all pairs shortest paths via circuit complexity"
    - "fast approximation algorithms for cut based problems in undirected graphs"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"

Connected through hyperedge HE-2 (induced by source paper "routing under balance"):
  with members:
    - "an almost linear time algorithm for approximate max flow in undirected graphs and its multicommodity generalizations"
    - "parallel graph decompositions using random shifts"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "nearly maximum flows in nearly linear time"
    - "fast approximation algorithms for cut based problems in undirected graphs"
    - "cut matching games on directed graphs"

Connected through hyperedge HE-3 (induced by source paper "near optimal distributed maximum flow"):
  with members:
    - "simple parallel and distributed algorithms for spectral graph sparsification"
    - "nearly maximum flows in nearly linear time"
    - "fast approximation algorithms for cut based problems in undirected graphs"
    - "distributed verification and hardness of distributed approximation"
    - "nearly tight low stretch spanning trees"
    - "nearly linear time algorithms for preconditioning and solving symmetric diagonally dominant linear systems"
    - "randomized approximation schemes for cuts and flows in capacitated graphs"
    - "sequential and parallel algorithms for mixed packing and covering"

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)