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 "shortest reconfiguration of matchings"):
  Abstract: Imagine that unlabelled tokens are placed on the edges of a graph, such that no two tokens are placed on incident edges. A token can jump to another edge if the edges having tokens remain independent. We study the problem of determining the distance between two token configurations (resp., the corresponding matchings), which is given by the length of a shortest transformation. We give a polynomial-time algorithm for the case that at least one of the two configurations is not inclusion-wise maximal and show that otherwise, the problem admits no polynomial-time sublogarithmic-factor approximation unless P = NP. Furthermore, we show that the distance of two configurations in bipartite graphs is fixed-parameter tractable parameterized by the size $d$ of the symmetric difference of the source and target configurations, and obtain a $d^\varepsilon$-factor approximation algorithm for every $\varepsilon > 0$ if additionally the configurations correspond to maximum matchings. Our two main technical tools are the Edmonds-Gallai decomposition and a close relation to the Directed Steiner Tree problem. Using the former, we also characterize those graphs whose corresponding configuration graphs are connected. Finally, we show that deciding if the distance between two configurations is equal to a given number $\ell$ is complete for the class $D^P$, and deciding if the diameter of the graph of configurations is equal to $\ell$ is $D^P$-hard.

Includes members:
  Member "an improved fpt algorithm for the flip distance problem":
    also connected through other hyperedges:
      (none)
  Member "solving the rubik s cube optimally is np complete":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the computational complexity of finding hamiltonian cycles in grid graphs of semiregular tessellations")
  Member "the complexity of independent set reconfiguration on bipartite graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "dominating sets reconfiguration under token sliding")
  Member "a reconfigurations analogue of brooks theorem and its consequences":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a polynomial version of cereceda s conjecture")
  Member "flip distance between triangulations of a simple polygon is np complete":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "shortest reconfiguration of perfect matchings via alternating cycles")
  Member "shortest reconfiguration of sliding tokens on a caterpillar":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "shortest reconfiguration of perfect matchings via alternating cycles")
  Member "flip distance between triangulations of a planar point set is apx hard":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "shortest reconfiguration of perfect matchings via alternating cycles")
  Member "recoloring graphs via tree decompositions":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a polynomial version of cereceda s conjecture")

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)