human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "a fast minimum degree algorithm and matching lower bound"):
  Abstract: The minimum degree algorithm is one of the most widely-used heuristics for reducing the cost of solving large sparse systems of linear equations. It has been studied for nearly half a century and has rich history of bridging techniques from data structures, graph algorithms, and direct methods in scientific computing. We present a simple but novel combinatorial algorithm for computing minimum degree elimination orderings in $O(nm)$ time that relies on a careful amortized analysis. Furthermore, we show that there cannot exist an algorithm for this problem that runs in $O(nm^{1-\varepsilon})$ time, for any $\varepsilon > 0$, assuming the strong exponential time hypothesis.

Includes members:
  Member "graph sketching against adaptive adversaries applied to the minimum degree algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deterministic graph cuts in subquadratic time sparse balanced and k vertex")
  Member "minimum fill in inapproximability and almost tight lower bounds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "graph sketching against adaptive adversaries applied to the minimum degree algorithm")
  Member "lower bounds for the parameterized complexity of minimum fill in and other completion problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "exploring the complexity of layout parameters in tournaments and semi complete digraphs")
  Member "subexponential parameterized algorithm for minimum fill in":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "subexponential parameterized algorithms and kernelization on almost chordal graphs")

Question: Please tell me which class the source paper 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)