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: "from pathwidth to connected pathwidth"
  Abstract: It is proven that the connected pathwidth of any graph $G$ is at most $2\cdot\textup{pw}(G)+1$, where $\textup{pw}(G)$ is the pathwidth of $G$. The method is constructive, i.e., it yields an efficient algorithm that for a given path decomposition of width $k$ computes a connected path decomposition of width at most $2k+1$. The running time of the algorithm is $O(dk^2)$, where $d$ is the number of “bags” in the input path decomposition. The motivation for studying connected path decompositions comes from the connection between the pathwidth and the search number of a graph. One of the advantages of the above bound for connected pathwidth is an inequality $\textup{\texttt{cs}}(G)\leq 2\textup{\texttt{s}}(G)+3$, where $\textup{\texttt{cs}}(G)$ and $\textup{\texttt{s}}(G)$ are the connected search number and the search number of $G$, respectively. Moreover, the algorithm presented in this work can be used to convert a given search strategy using $k$ searchers into a (monotone) connected one using $2k+3$ searc...

Connected through hyperedge HE-1 (induced by source paper "finding small width connected path decompositions in polynomial time"):
  with members:
    - "using ilp sat to determine pathwidth visibility representations and other grid based graph drawings"
    - "connected searching of weighted trees"

Connected through hyperedge HE-2 (induced by source paper "on tradeoffs between width and fill like graph parameters"):
  with members:
    - "subexponential time algorithms for finding small tree and path decompositions"

Connected through hyperedge HE-3 (induced by source paper "the snow team problem clearing directed subgraphs by mobile agents"):
  with members:
    - "on directed steiner trees with multiple roots"
    - "approximating directed steiner problems via tree embedding"
    - "covering pairs in directed acyclic graphs"
    - "an algorithmic metatheorem for directed treewidth"
    - "parameterized complexity of directed steiner tree on sparse graphs"
    - "connected searching of weighted trees"
    - "complexity of the path avoiding forbidden pairs problem revisited"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-4 (induced by source paper "on the complexity of optimal homotopies"):
  with members:
    - "on the homotopy test on surfaces"

Connected through hyperedge HE-5 (induced by source paper "distributed searching of partial grids"):
  with members:
    - "connected searching of weighted trees"

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)