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 "pushing lines helps efficient universal centralised transformations for programmable matter"):
  Abstract: In this paper, we study a discrete system of entities residing on a two-dimensional square grid. Each entity is modelled as a node occupying a distinct cell of the grid. The set of all $n$ nodes forms initially a connected shape $A$. Entities are equipped with a linear-strength pushing mechanism that can push a whole line of entities, from 1 to $n$, in parallel in a single time-step. A target connected shape $B$ is also provided and the goal is to \emph{transform} $A$ into $B$ via a sequence of line movements. Existing models based on local movement of individual nodes, such as rotating or sliding a single node, can be shown to be special cases of the present model, therefore their (inefficient, $\Theta(n^2)$) \emph{universal transformations} carry over. Our main goal is to investigate whether the parallelism inherent in this new type of movement can be exploited for efficient, i.e., sub-quadratic worst-case, transformations. As a first step towards this, we restrict attention solely to centralised transformations and leave the distributed case as a direction for future research. Our results are positive. By focusing on the apparently hard instance of transforming a diagonal $A$ into a straight line $B$, we first obtain transformations of time $O(n\sqrt{n})$ without and with preserving the connectivity of the shape throughout the transformation. Then, we further improve by providing two $O(n\log n)$-time transformations for this problem. By building upon these ideas, we first manage to develop an $O(n\sqrt{n})$-time universal transformation. Our main result is then an $ O(n \log n) $-time universal transformation. We leave as an interesting open problem a suspected $\Omega(n\log n)$-time lower bound.

Includes members:
  Member "on the runtime of universal coating for programmable matter":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "on the transformation capability of feasible mechanisms for programmable matter":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "line recovery by programmable particles":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "shape formation by programmable particles":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "an algorithmic framework for shape formation problems in self organizing particle systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mobile ram and shape formation by programmable particles")
  Member "simple and efficient local codes for distributed stable network construction":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "distributed computation and reconfiguration in actively dynamic networks")
  Member "active self assembly of algorithmic shapes and patterns in polylogarithmic time":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "simulation of programmable matter systems using active tile based self assembly")
  Member "the computational power of population protocols":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "robust comparison in population protocols")

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)