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: "well covered graphs without cycles of lengths 4 5 and 6"
  Abstract: A graph G is well-covered if all its maximal independent sets are of the same cardinality. Assume that a weight function w is defined on its vertices. Then G is w-well-covered if all maximal independent sets are of the same weight. For every graph G, the set of weight functions w such that G is w-well-covered is a vector space. Given an input graph G without cycles of length 4, 5, and 6, we characterize polynomially the vector space of weight functions w for which G is w-well-covered. Let B be an induced complete bipartite subgraph of G on vertex sets of bipartition B_{X} and B_{Y}. Assume that there exists an independent set S such that both the union of S and B_{X} and the union of S and B_{Y} are maximal independent sets of G. Then B is a generating subgraph of G, and it produces the restriction w(B_{X})=w(B_{Y}). It is known that for every weight function w, if G is w-well-covered, then the above restriction is satisfied. In the special case, where B_{X}={x} and B_{Y}={y}, we say that xy is a relating edge. Recognizing relating edges and generating subgraphs is an NP-complete problem. However, we provide a polynomial algorithm for recognizing generating subgraphs of an input graph without cycles of length 5, 6 and 7. We also present a polynomial algorithm for recognizing relating edges in an input graph without cycles of length 5 and 6.

Connected through hyperedge HE-1 (induced by source paper "recognizing generating subgraphs in graphs without cycles of lengths 6 and 7"):
  with members:
    - "complexity results for generating subgraphs"
    - "on relating edges in graphs without cycles of length 4"

Connected through hyperedge HE-2 (induced by source paper "complexity results for generating subgraphs"):
  with members:
    - "weighted well covered claw free graphs"
    - "on relating edges in graphs without cycles of length 4"

Connected through hyperedge HE-3 (induced by source paper "well dominated graphs without cycles of lengths 4 and 5"):
  with members:
    - "complexity results for generating subgraphs"
    - "weighted well covered claw free graphs"

Connected through hyperedge HE-4 (induced by source paper "weighted well covered claw free graphs"):
  with members:
    - "weighted well covered graphs without cycles of length 4 6 and 7"
    - "on relating edges in graphs without cycles of length 4"

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)