human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "treewidth distance on phylogenetic trees"):
  Abstract: In this article we study the treewidth of the \emph{display graph}, an auxiliary graph structure obtained from the fusion of phylogenetic (i.e., evolutionary) trees at their leaves. Earlier work has shown that the treewidth of the display graph is bounded if the trees are in some formal sense topologically similar. Here we further expand upon this relationship. We analyse a number of reduction rules which are commonly used in the phylogenetics literature to obtain fixed parameter tractable algorithms. In some cases (the \emph{subtree} reduction) the reduction rules behave similarly with respect to treewidth, while others (the \emph{cluster} reduction) behave very differently, and the behaviour of the \emph{chain reduction} is particularly intriguing because of its link with graph separators and forbidden minors. We also show that the gap between treewidth and Tree Bisection and Reconnect (TBR) distance can be infinitely large, and that unlike, for example, planar graphs the treewidth of the display graph can be as much as linear in its number of vertices. On a slightly different note we show that if a display graph is formed from the fusion of a phylogenetic network and a tree, rather than from two trees, the treewidth of the display graph is bounded whenever the tree can be topologically embedded ("displayed") within the network. This opens the door to the formulation of the display problem in Monadic Second Order Logic (MSOL). A number of other auxiliary results are given. We conclude with a discussion and list a number of open problems.

Includes members:
  Member "on unrooted and root uncertain variants of several well known phylogenetic network problems":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "new reduction rules for the tree bisection and reconnection distance")
  Member "efficient fpt algorithms for strict compatibility of unrooted phylogenetic trees":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "composing dynamic programming tree decomposition based algorithms")
  Member "calculating the unrooted subtree prune and regraft distance":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "an analysis of the geodesic distance and other comparative metrics for tree like structures")
  Member "kernelizations for the hybridization number problem on multiple nonbinary trees":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a practical fixed parameter algorithm for constructing tree child networks from multiple binary trees")
  Member "a complete anytime algorithm for treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "graph convolutional policy for solving tree decomposition via reinforcement learning heuristics")
  Member "graph triangulations and the compatibility of unrooted phylogenetic trees":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on low treewidth graphs and supertrees")

Question: Please tell me which class the source paper 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)