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: "minimizing movement fixed parameter tractability"
  Abstract: We study an extensive class of movement minimization problems which arise from many practical scenarios but so far have little theoretical study. In general, these problems involve planning the coordinated motion of a collection of agents (representing robots, people, map labels, network messages, etc.) to achieve a global property in the network while minimizing the maximum or average movement (expended energy). The only previous theoretical results about this class of problems are about approximation, and mainly negative: many movement problems of interest have polynomial inapproximability. Given that the number of mobile agents is typically much smaller than the complexity of the environment, we turn to fixed-parameter tractability. We characterize the boundary between tractable and intractable movement problems in a very general set up: it turns out the complexity of the problem fundamentally depends on the treewidth of the minimal configurations. Thus the complexity of a particular problem can be determined by answering a purely combinatorial question. Using our general tools, we determine the complexity of several concrete problems and fortunately show that many movement problems of interest can be solved efficiently.

Connected through hyperedge HE-1 (induced by source paper "minimizing travel in the uniform dispersal problem for robotic sensors"):
  with members:
    - "algorithms for rapidly dispersing robot swarms in unknown environments"

Connected through hyperedge HE-2 (induced by source paper "coordinated motion planning reconfiguring a swarm of labeled robots with bounded stretch"):
  with members:
    - "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"
    - "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"
    - "pspace completeness of sliding block puzzles and other problems through the nondeterministic constraint logic model of computation"
    - "coin moving puzzles"

Connected through hyperedge HE-3 (induced by source paper "approximation algorithms for movement repairmen"):
  with members:
    - "a ptas for tsp with neighborhoods among fat regions in the plane"
    - "local search based approximation algorithms for mobile facility location problems"
    - "facility location with client latencies linear programming based techniques for minimum latency problems"
    - "algorithms for rapidly dispersing robot swarms in unknown environments"
    - "approximation algorithms for tsp with neighborhoods in the plane"

Connected through hyperedge HE-4 (induced by source paper "confronting intractability via parameters"):
  with members:
    - "slightly superexponential parameterized problems"
    - "bidimensionality and kernels"
    - "how good is the chord algorithm"
    - "dynamic programming for graphs on surfaces"
    - "courcelle s theorem a game theoretic approach"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "co nondeterminism in compositions a kernelization lower bound for a ramsey type problem"

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)