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: "optimizing tile concentrations to minimize errors and time for dna tile self assembly systems"
  Abstract: DNA tile self-assembly has emerged as a rich and promising primitive for nano-technology. This paper studies the problems of minimizing assembly time and error rate by changing the tile concentrations because changing the tile concentrations is easy to implement in actual lab experiments. We prove that setting the concentration of tile $T_i$ proportional to the square root of $N_i$ where $N_i$ is the number of times $T_i$ appears outside the seed structure in the final assembled shape minimizes the rate of growth errors for rectilinear tile systems. We also show that the same concentrations minimize the expected assembly time for a feasible class of tile systems. Moreover, for general tile systems, given tile concentrations, we can approximate the expected assembly time with high accuracy and probability by running only a polynomial number of simulations in the size of the target shape.

Connected through hyperedge HE-1 (induced by source paper "reflections on tiles in self assembly"):
  with members:
    - "binary pattern tile set synthesis is np hard"
    - "universal computation with arbitrary polyomino tiles in non cooperative self assembly"
    - "the power of duples in self assembly it s not so hip to be square"
    - "one tile to rule them all simulating any turing machine tile assembly system or tiling system with a single puzzle piece"
    - "self assembly with geometric tiles"
    - "negative interactions in irreversible self assembly"
    - "strict self assembly of discrete sierpinski triangles"
    - "temperature 1 self assembly deterministic assembly in 3d and probabilistic assembly in 2d"

Connected through hyperedge HE-2 (induced by source paper "the power of duples in self assembly it s not so hip to be square"):
  with members:
    - "universal computation with arbitrary polyomino tiles in non cooperative self assembly"
    - "the two handed tile assembly model is not intrinsically universal"
    - "signal transmission across tile assemblies 3d static tiles simulate active self assembly by 2d signal passing tiles"
    - "intrinsic universality in tile self assembly requires cooperation"
    - "the tile assembly model is intrinsically universal"
    - "the power of nondeterminism in self assembly"
    - "strict self assembly of discrete sierpinski triangles"
    - "temperature 1 self assembly deterministic assembly in 3d and probabilistic assembly in 2d"

Connected through hyperedge HE-3 (induced by source paper "active self assembly of algorithmic shapes and patterns in polylogarithmic time"):
  with members:
    - "one tile to rule them all simulating any turing machine tile assembly system or tiling system with a single puzzle piece"
    - "two hands are better than one up to constant factors"
    - "the tile assembly model is intrinsically universal"
    - "negative interactions in irreversible self assembly"
    - "self assembly of arbitrary shapes using rnase enzymes meeting the kolmogorov bound with small scale factor extended abstract"
    - "randomized self assembly for exact shapes"
    - "staged self assembly nanomanufacture of arbitrary shapes with o 1 glues"

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)