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 linear time algorithm for the feasibility of pebble motion on graphs"
  Abstract: Given a connected, undirected, simple graph $G = (V, E)$ and $p \le |V|$ pebbles labeled $1,..., p$, a configuration of these $p$ pebbles is an injective map assigning the pebbles to vertices of $G$. Let $S$ and $D$ be two such configurations. From a configuration, pebbles can move on $G$ as follows: In each step, at most one pebble may move from the vertex it currently occupies to an adjacent unoccupied vertex, yielding a new configuration. A natural question in this setting is the following: Is configuration $D$ reachable from $S$ and if so, how? We show that the feasibility of this problem can be decided in time $O(|V| + |E|)$.

Connected through hyperedge HE-1 (induced by source paper "sear a polynomial time multi robot path planning algorithm with expected constant factor optimality guarantee"):
  with members:
    - "a portable 3d printing enabled multi vehicle platform for robotics research and education"
    - "an effective algorithmic framework for near optimal multi robot path planning"
    - "motion planning for unlabeled discs with optimality guarantees"
    - "on the hardness of unlabeled multi robot motion planning"
    - "finding a needle in an exponential haystack discrete rrt for exploration of implicit roadmaps in multi robot motion planning"
    - "k color multi robot motion planning"

Connected through hyperedge HE-2 (induced by source paper "average case constant factor time and distance optimal multi robot path planning in well connected environments"):
  with members:
    - "lifelong multi agent path finding for online pickup and delivery tasks"
    - "sear a polynomial time expected constant factor optimal algorithmic framework for multi robot path planning"
    - "motion planning for unlabeled discs with optimality guarantees"
    - "on the hardness of unlabeled multi robot motion planning"
    - "efficient multi robot motion planning for unlabeled discs in simple polygons"
    - "k color multi robot motion planning"
    - "distance optimal formation control on graphs with a tight convergence time guarantee"
    - "multi agent path planning and network flow"

Connected through hyperedge HE-3 (induced by source paper "sear a polynomial time expected constant factor optimal algorithmic framework for multi robot path planning"):
  with members:
    - "a portable 3d printing enabled multi vehicle platform for robotics research and education"
    - "on the hardness of unlabeled multi robot motion planning"
    - "finding a needle in an exponential haystack discrete rrt for exploration of implicit roadmaps in multi robot motion planning"
    - "k color multi robot motion planning"
    - "distance optimal formation control on graphs with a tight convergence time guarantee"

Connected through hyperedge HE-4 (induced by source paper "motion planning for unlabeled discs with optimality guarantees"):
  with members:
    - "on the hardness of unlabeled multi robot motion planning"
    - "efficient multi robot motion planning for unlabeled discs in simple polygons"
    - "finding a needle in an exponential haystack discrete rrt for exploration of implicit roadmaps in multi robot motion planning"
    - "k color multi robot motion planning"
    - "distance optimal formation control on graphs with a tight convergence time guarantee"
    - "multi agent path planning and network flow"
    - "planning optimal paths for multiple robots on graphs"
    - "on the power of manifold samples in exploring configuration spaces and the dimensionality of narrow passages"

Connected through hyperedge HE-5 (induced by source paper "pebble motion on graphs with rotations efficient feasibility tests and planning algorithms"):
  with members:
    - "k color multi robot motion planning"

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)