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 "linear recognition of almost interval graphs"):
  Abstract: Let $\mbox{interval} + k v$, $\mbox{interval} + k e$, and $\mbox{interval} - k e$ denote the classes of graphs that can be obtained from some interval graph by adding $k$ vertices, adding $k$ edges, and deleting $k$ edges, respectively. When $k$ is small, these graph classes are called almost interval graphs. They are well motivated from computational biology, where the data ought to be represented by an interval graph while we can only expect an almost interval graph for the best. For any fixed $k$, we give linear-time algorithms for recognizing all these classes, and in the case of membership, our algorithms provide also a specific interval graph as evidence. When $k$ is part of the input, these problems are also known as graph modification problems, all NP-complete. Our results imply that they are fixed-parameter tractable parameterized by $k$, thereby resolving the long-standing open problem on the parameterized complexity of recognizing $\mbox{interval}+ k e$, first asked by Bodlaender et al. [Bioinformatics, 11:49--57, 1995]. Moreover, our algorithms for recognizing $\mbox{interval}+ k v$ and $\mbox{interval}- k e$ run in times $O(6^k \cdot (n + m))$ and $O(8^k \cdot (n + m))$, (where $n$ and $m$ stand for the numbers of vertices and edges respectively in the input graph,) significantly improving the $O(k^{2k}\cdot n^3m)$-time algorithm of Heggernes et al. [STOC 2007] and the $O(10^k \cdot n^9)$-time algorithm of Cao and Marx [SODA 2014] respectively.

Includes members:
  Member "a faster algorithm to recognize even hole free graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "three in a tree in near linear time")
  Member "faster algorithms for vertex partitioning problems parameterized by clique width":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "node multiway cut and subset feedback vertex set on graphs of bounded mim width")
  Member "forbidden induced subgraphs of normal helly circular arc graphs characterization and detection":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "canonical representations for circular arc graphs using flip sets")
  Member "chordal editing is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a polynomial kernel for 3 leaf power deletion")
  Member "a subexponential parameterized algorithm for interval completion":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "lower bounds for the parameterized complexity of minimum fill in and other completion problems")
  Member "normal helly circular arc graphs and its subclasses":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dual parameterization of weighted coloring")
  Member "exploring subexponential parameterized complexity of completion problems":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "lower bounds for the parameterized complexity of minimum fill in and other completion problems")
  Member "interval deletion is fixed parameter tractable":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "hitting topological minors is fpt")

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)