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: "synthesizing minimal tile sets for patterned dna self assembly"
  Abstract: The Pattern self-Assembly Tile set Synthesis (PATS) problem is to determine a set of coloured tiles that self-assemble to implement a given rectangular colour pattern. We give an exhaustive branch-and-bound algorithm to find tile sets of minimum cardinality for the PATS problem. Our algorithm makes use of a search tree in the lattice of partitions of the ambient rectangular grid, and an efficient bounding function to prune this search tree. Empirical data on the performance of the algorithm shows that it compares favourably to previously presented heuristic solutions to the problem.

Connected through hyperedge HE-1 (induced by source paper "the complexity of fixed height patterned tile self assembly"):
  with members:
    - "binary pattern tile set synthesis is np hard"
    - "combinatorial optimization in pattern assembly"
    - "intrinsic universality and the computational power of self assembly"

Connected through hyperedge HE-2 (induced by source paper "binary pattern tile set synthesis is np hard"):
  with members:
    - "a manually checkable proof for the np hardness of 11 color pattern self assembly tile set synthesis"
    - "search methods for tile sets in patterned dna self assembly"
    - "3 color bounded patterned self assembly"
    - "the two handed tile assembly model is not intrinsically universal"
    - "combinatorial optimization in pattern assembly"
    - "intrinsic universality in tile self assembly requires cooperation"
    - "intrinsic universality and the computational power of self assembly"
    - "one tile to rule them all simulating any turing machine tile assembly system or tiling system with a single puzzle piece"

Connected through hyperedge HE-3 (induced by source paper "search methods for tile sets in patterned dna self assembly"):
  with members:
    - "combinatorial optimization in pattern assembly"

Connected through hyperedge HE-4 (induced by source paper "3 color bounded patterned self assembly"):
  with members:
    - "binary pattern tile set synthesis is np hard"
    - "combinatorial optimization in pattern assembly"

Connected through hyperedge HE-5 (induced by source paper "combinatorial optimization in pattern assembly"):
  with members:
    - "the power of nondeterminism in self assembly"

Connected through hyperedge HE-6 (induced by source paper "hypergraph automata a theoretical model for patterned self assembly"):
  with members:
    - "3 color bounded patterned self assembly"

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)