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: "arc consistency for soft constraints"
  Abstract: The notion of arc consistency plays a central role in constraint satisfaction. It is known that the notion of local consistency can be extended to constraint optimisation problems defined by soft constraint frameworks based on an idempotent cost combination operator. This excludes non idempotent operators such as + which define problems which are very important in practical applications such as Max-CSP, where the aim is to minimize the number of violated constraints. In this paper, we show that using a weak additional axiom satisfied by most existing soft constraints proposals, it is possible to define a notion of soft arc consistency that extends the classical notion of arc consistency and this even in the case of non idempotent cost combination operators. A polynomial time algorithm for enforcing this soft arc consistency exists and its space and time complexities are identical to that of enforcing arc consistency in CSPs when the cost combination operator is strictly monotonic (for example Max-CSP). A directional version of arc consistency is potentially even stronger than the non-directional version, since it allows non local propagation of penalties. We demonstrate the utility of directional arc consistency by showing that it not only solves soft constraint problems on trees, but that it also implies a form of local optimality, which we call arc irreducibility.

Connected through hyperedge HE-1 (induced by source paper "tree projections and constraint optimization problems fixed parameter tractability and parallel algorithms"):
  with members:
    - "constraint solving via fractional edge covers"
    - "greedy strategies and larger islands of tractability for conjunctive queries and constraint satisfaction problems"
    - "general and fractional hypertree decompositions hard and easy cases"
    - "aggregations over generalized hypertree decompositions"
    - "faq questions asked frequently"
    - "structural tractability of enumerating csp solutions"
    - "a quasi polynomial time partition oracle for graphs with an excluded minor"
    - "possibilistic constraint satisfaction problems or how to handle soft constraints"

Connected through hyperedge HE-2 (induced by source paper "tractability preserving transformations of global cost functions"):
  with members:
    - "consistency techniques for flow based projection safe global cost functions in weighted constraint satisfaction"
    - "slide a useful special case of the cardpath constraint"
    - "bounds arc consistency for weighted csps"

Connected through hyperedge HE-3 (induced by source paper "the power of linear programming for valued csps"):
  with members:
    - "an algebraic theory of complexity for discrete optimization"
    - "the complexity of conservative valued csps"
    - "towards minimizing k submodular functions"
    - "min csp on four elements moving beyond submodularity"
    - "on the complexity of submodular function minimisation on diamonds"
    - "hard constraint satisfaction problems have hard gaps at location 1"
    - "the approximability of max csp with fixed value constraints"

Connected through hyperedge HE-4 (induced by source paper "join graph based cost shifting schemes"):
  with members:
    - "a complete anytime algorithm for treewidth"
    - "residual belief propagation informed scheduling for asynchronous message passing"
    - "improved dynamic schedules for belief propagation"
    - "tightening lp relaxations for map using message passing"
    - "join graph propagation algorithms"
    - "lagrangian relaxation for map estimation in graphical models"

Connected through hyperedge HE-5 (induced by source paper "consistency techniques for flow based projection safe global cost functions in weighted constraint satisfaction"):
  with members:
    - "bounds arc consistency for weighted csps"
    - "flow based propagators for the sequence and related global constraints"

Connected through hyperedge HE-6 (induced by source paper "bounds arc consistency for weighted csps"):
  with members:
    - "finite domain bounds consistency revisited"
    - "the essence of constraint propagation"

Connected through hyperedge HE-7 (induced by source paper "an algebraic graphical model for decision with uncertainties feasibilities and utilities"):
  with members:
    - "a possibilistic model for qualitative sequential decision problems under uncertainty in partially observable environments"
    - "qualitative models for decision under uncertainty without the commensurability assumption"
    - "an order of magnitude calculus"
    - "graphical models for preference and utility"
    - "plausibility measures a user s guide"
    - "a qualitative linear utility theory for spohn s theory of epistemic beliefs"
    - "context specific independence in bayesian networks"
    - "a general non probabilistic theory of inductive reasoning"

Connected through hyperedge HE-8 (induced by source paper "new inference rules for max sat"):
  with members:
    - "a logical approach to efficient max sat solving"
    - "a simple model to generate hard satisfiable instances"

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.AI(Artificial Intelligence)