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 "listing conflicting triples in optimal time"):
  Abstract: Different sources of information might tell different stories about the evolutionary history of a given set of species. This leads to (rooted) phylogenetic trees that " disagree " on triples of species, which we call " conflict triples ". An important subtask of computing consensus trees which is interesting in its own regard is the enumeration of all conflicts exhibited by a pair of phylogenetic trees (on the same set of n taxa). As it is possible that a significant part of the n^3 triples are in conflict, the trivial θ(n^3)-time algorithm that checks for each triple whether it constitutes a conflict, was considered optimal. It turns out, however, that we can do way better in the case that there are only few conflicts. In particular, we show that we can enumerate all d conflict triples between a pair of phylogenetic trees in O(n + d) time. Since any deterministic algorithm has to spend Θ(n) time reading the input and Θ(d) time writing the output, no deterministic algorithm can solve this task faster than we do (up to constant factors).

Includes members:
  Member "a linear time algorithm for maximum cardinality matching on cocomparability graphs":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on adaptive algorithms for maximum matching")
  Member "fully polynomial time parameterized computations for graphs and matrices of low treewidth":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "minimum cuts in surface graphs")

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.DS(Data Structures and Algorithms)