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: "irreversible 2 conversion set in graphs of bounded degree"
  Abstract: An irreversible $k$-threshold process (also a $k$-neighbor bootstrap#N#percolation) is a dynamic process on a graph where vertices change color from#N#white to black if they have at least $k$ black neighbors. An irreversible#N#$k$-conversion set of a graph $G$ is a subset $S$ of vertices of $G$ such that#N#the irreversible $k$-threshold process starting with $S$ black eventually#N#changes all vertices of $G$ to black. We show that deciding the existence of an#N#irreversible 2-conversion set of a given size is NP-complete, even for graphs#N#of maximum degree 4, which answers a question of Dreyer and Roberts.#N#Conversely, we show that for graphs of maximum degree 3, the minimum size of an#N#irreversible 2-conversion set can be computed in polynomial time. Moreover, we#N#find an optimal irreversible 3-conversion set for the toroidal grid,#N#simplifying constructions of Pike and Zou.

Connected through hyperedge HE-1 (induced by source paper "target set selection for conservative populations"):
  with members:
    - "graph and string parameters connections between pathwidth cutwidth and the locality number"
    - "whom to befriend to influence people"
    - "parameterized inapproximability of target set selection and generalizations"
    - "hardness of vertex deletion and project scheduling"

Connected through hyperedge HE-2 (induced by source paper "dynamic monopolies for interval graphs with bounded thresholds"):
  with members:
    - "target set selection parameterized by clique width and maximum threshold"

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.DM(Discrete Mathematics)