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: "exact algorithms for dominating induced matchings"
  Abstract: Say that an edge of a graph G dominates itself and every other edge adjacent to it. An edge dominating set of a graph G = (V,E) is a subset of edges E' of E which dominates all edges of G. In particular, if every edge of G is dominated by exactly one edge of E' then E' is a dominating induced matching. It is known that not every graph admits a dominating induced matching, while the problem to decide if it does admit is NP-complete. In this paper we consider the problem of finding a minimum weighted dominating induced matching, if any, of a graph with weighted edges. We describe two exact algorithms for general graphs. The algorithms are efficient in the cases where G admits a known vertex dominating set of small size, or when G contains a polynomial number of maximal independent sets.

Connected through hyperedge HE-1 (induced by source paper "perfect edge domination hard and solvable cases"):
  with members:
    - "efficient and perfect domination on circular arc graphs"
    - "dominating induced matchings in graphs containing no long claw"
    - "exact algorithms for dominating induced matching based on graph partition"
    - "an o 1 1939 n time algorithm for minimum weighted dominating induced matching"
    - "efficient dominating and edge dominating sets for graphs and hypergraphs"

Connected through hyperedge HE-2 (induced by source paper "efficient and perfect domination on circular arc graphs"):
  with members:
    - "efficient dominating and edge dominating sets for graphs and hypergraphs"

Connected through hyperedge HE-3 (induced by source paper "exact algorithms for dominating induced matching based on graph partition"):
  with members:
    - "an o 1 1939 n time algorithm for minimum weighted dominating induced matching"
    - "efficient dominating and edge dominating sets for graphs and hypergraphs"
    - "dominating induced matchings for p7 free graphs in linear time"

Connected through hyperedge HE-4 (induced by source paper "an o 1 1939 n time algorithm for minimum weighted dominating induced matching"):
  with members:
    - "efficient dominating and edge dominating sets for graphs and hypergraphs"
    - "dominating induced matchings for p7 free graphs in linear time"
    - "determinant sums for undirected hamiltonicity"

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)