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: "enhanced sharing analysis techniques a comprehensive evaluation"
  Abstract: Sharing, an abstract domain developed by D. Jacobs and A. Langen for the analysis of logic programs, derives useful aliasing information. It is well-known that a commonly used core of techniques, such as the integration of Sharing with freeness and linearity information, can significantly improve the precision of the analysis. However, a number of other proposals for refined domain combinations have been circulating for years. One feature that is common to these proposals is that they do not seem to have undergone a thorough experimental evaluation even with respect to the expected precision gains. In this paper we experimentally evaluate: helping Sharing with the definitely ground variables found using Pos, the domain of positive Boolean formulas; the incorporation of explicit structural information; a full implementation of the reduced product of Sharing and Pos; the issue of reordering the bindings in the computation of the abstract mgu; an original proposal for the addition of a new mode recording the set of variables that are deemed to be ground or free; a refined way of using linearity to improve the analysis; the recovery of hidden information in the combination of Sharing with freeness information. Finally, we discuss the issue of whether tracking compoundness allows the computation of more sharing information.

Connected through hyperedge HE-1 (induced by source paper "optimal multibinding unification for sharing and linearity analysis"):
  with members:
    - "on the interaction between sharing and linearity"
    - "optimality in goal dependent analysis of sharing"

Connected through hyperedge HE-2 (induced by source paper "on the interaction between sharing and linearity"):
  with members:
    - "optimality in goal dependent analysis of sharing"
    - "a correct precise and efficient integration of set sharing freeness and linearity for the analysis of finite and rational tree languages"
    - "three optimisations for sharing"

Connected through hyperedge HE-3 (induced by source paper "optimality in goal dependent analysis of sharing"):
  with members:
    - "a correct precise and efficient integration of set sharing freeness and linearity for the analysis of finite and rational tree languages"
    - "three optimisations for sharing"

Connected through hyperedge HE-4 (induced by source paper "finite tree analysis for constraint logic based languages the complete unabridged version"):
  with members:
    - "an application of rational trees in a logic programming interpreter for a procedural language"
    - "a correct precise and efficient integration of set sharing freeness and linearity for the analysis of finite and rational tree languages"
    - "cti a constraint based termination inference tool for iso prolog"
    - "soundness idempotence and commutativity of set sharing"
    - "decomposing non redundant sharing by complementation"

Connected through hyperedge HE-5 (induced by source paper "a correct precise and efficient integration of set sharing freeness and linearity for the analysis of finite and rational tree languages"):
  with members:
    - "three optimisations for sharing"
    - "soundness idempotence and commutativity of set sharing"
    - "decomposing non redundant sharing by complementation"

Connected through hyperedge HE-6 (induced by source paper "three optimisations for sharing"):
  with members:
    - "soundness idempotence and commutativity of set sharing"

Connected through hyperedge HE-7 (induced by source paper "soundness idempotence and commutativity of set sharing"):
  with members:
    - "decomposing non redundant sharing by complementation"

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.PL(Programming Languages)