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: "backdoors into heterogeneous classes of sat and csp"
  Abstract: In this paper we extend the classical notion of strong and weak backdoor sets for SAT and CSP by allowing that different instantiations of the backdoor variables result in instances that belong to different base classes; the union of the base classes forms a heterogeneous base class. Backdoor sets to heterogeneous base classes can be much smaller than backdoor sets to homogeneous ones, hence they are much more desirable but possibly harder to find. We draw a detailed complexity landscape for the problem of detecting strong and weak backdoor sets into heterogeneous base classes for SAT and CSP. Introduction of Heterogeneous Base classes for SAT and CSP.Introduction of base classes for CSP defined via polymorphisms.Complete parameterized complexity classification for strong and weak backdoor set detection for SAT and CSP.The paper is a largely extended version of the paper with the same title, which appeared in the Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14). In addition to containing the full proofs and more detailed explanations, the paper has been extended by the following results:a complete parameterized complexity classification for strong backdoor set detection for SAT of heterogeneous base classes resulting from combinations of the well-known Schaefer classes,we now handle not only strong but also weak backdoor sets,the running times of all strong backdoor set detection algorithms for SAT have been improved from double to single exponential (parameter dependence),a comparision to related work has been added to the introduction,a complete comparision to partition backdoor sets has been added as an extra section.

Connected through hyperedge HE-1 (induced by source paper "solving integer linear programs with a small number of global variables and constraints"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "scheduling meets n fold integer programming"
    - "the complexity landscape of decompositional parameters for ilp"
    - "voting and bribing in single exponential time"
    - "a structural approach to kernels for ilps treewidth and total unimodularity"
    - "on the computational complexity of vertex integrity and component order connectivity"
    - "backdoors to satisfaction"

Connected through hyperedge HE-2 (induced by source paper "discovering archipelagos of tractability for constraint satisfaction and counting"):
  with members:
    - "on backdoors to tractable constraint languages"
    - "the complexity of conservative valued csps"
    - "an atypical survey of typical case heuristic algorithms"
    - "strong backdoors to bounded treewidth sat"
    - "almost 2 sat is fixed parameter tractable"
    - "the connectivity of boolean satisfiability computational and structural dichotomies"

Connected through hyperedge HE-3 (induced by source paper "on backdoors to tractable constraint languages"):
  with members:
    - "on the reduction of the csp dichotomy conjecture to digraphs"
    - "strong backdoors to bounded treewidth sat"

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)