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: "algebraic algorithms for b matching shortest undirected paths and f factors"
  Abstract: Let G=(V,E) be a graph with f:V\to Z_+ a function assigning degree bounds to vertices. We present the first efficient algebraic algorithm to find an f-factor. The time is \tilde{O}(f(V)^{\omega}). More generally for graphs with integral edge weights of maximum absolute value W we find a maximum weight f-factor in time \tilde{O}(Wf(V)^{\omega}). (The algorithms are randomized, correct with high probability and Las Vegas; the time bound is worst-case.) We also present three specializations of these algorithms: For maximum weight perfect f-matching the algorithm is considerably simpler (and almost identical to its special case of ordinary weighted matching). For the single-source shortest-path problem in undirected graphs with conservative edge weights, we present a generalization of the shortest-path tree, and we compute it in \tilde{O(Wn^{\omega}) time. For bipartite graphs, we improve the known complexity bounds for vertex capacitated max-flow and min-cost max-flow on a subclass of graphs.

Connected through hyperedge HE-1 (induced by source paper "a scaling algorithm for weighted f factors in general graphs"):
  with members:
    - "approximate generalized matching f factors and f edge covers"
    - "data structures for weighted matching and extensions to b matching and f factors"
    - "scaling algorithms for weighted matching in general graphs"

Connected through hyperedge HE-2 (induced by source paper "optimal general matchings"):
  with members:
    - "parameterized complexity results for general factors in bipartite graphs with an application to constraint programming"

Connected through hyperedge HE-3 (induced by source paper "data structures for weighted matching and extensions to b matching and f factors"):
  with members:
    - "a data structure for nearest common ancestors with linking"
    - "sensitivity analysis of minimum spanning trees in sub inverse ackermann time"

Connected through hyperedge HE-4 (induced by source paper "scaling algorithms for weighted matching in general graphs"):
  with members:
    - "the weighted matching approach to maximum cardinality matching"
    - "sensitivity analysis of minimum spanning trees in sub inverse ackermann time"
    - "powers of tensors and fast matrix multiplication"
    - "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"
    - "a decomposition theorem for maximum weight bipartite matchings"

Connected through hyperedge HE-5 (induced by source paper "faster all pairs shortest paths via circuit complexity"):
  with members:
    - "new algorithms and lower bounds for circuits with linear threshold gates"
    - "faster algorithms for rectangular matrix multiplication"
    - "communication optimal parallel algorithm for strassen s matrix multiplication"
    - "preprocessing chains for fast dihedral rotations is hard or even impossible"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

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)