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 "a parameterized algorithmics framework for digraph degree sequence completion problems"):
  Abstract: There has been intensive work on the parameterized complexity of the typically NP-hard task to edit undirected graphs into graphs fulfilling certain given vertex degree constraints. In this work, seemingly for the first time, we lift the investigations to the case of directed graphs; herein, we focus on arc insertions. To this end, our general two-stage framework consists of efficiently solving a problem-specific number problem transferring the solution to a solution for the graph problem by applying flow computations. In this way, we obtain fixed-parameter tractability and polynomial kernelizability results, with the central parameter being the maximum vertex degree. Although there are certain similarities with the much better studied undirected case, the flow computation used in the directed case seems not to work for the undirected case while $f$-factor computations as used in the undirected case seem not to work for the directed case.

Includes members:
  Member "graph editing to a given degree sequence":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a parameterized algorithmics framework for degree sequence completion problems in directed graphs")
  Member "completing orientations of partially oriented graphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "circle graph isomorphism in almost linear time")
  Member "win win kernelization for degree sequence completion problems":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "graph editing to a given degree sequence")
  Member "improved upper and lower bound heuristics for degree anonymization in social networks":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a parameterized algorithmics framework for degree sequence completion problems in directed graphs")
  Member "editing to a graph of given degrees":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "building large k cores from sparse 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.DM(Discrete Mathematics)