human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "complexity classification in infinite domain constraint satisfaction"):
  Abstract: A constraint satisfaction problem (CSP) is a computational problem where the input consists of a finite set of variables and a finite set of constraints, and where the task is to decide whether there exists a satisfying assignment of values to the variables. Depending on the type of constraints that we allow in the input, a CSP might be tractable, or computationally hard. In recent years, general criteria have been discovered that imply that a CSP is polynomial-time tractable, or that it is NP-hard. Finite-domain CSPs have become a major common research focus of graph theory, artificial intelligence, and finite model theory. It turned out that the key questions for complexity classification of CSPs are closely linked to central questions in universal algebra. #R##N#This thesis studies CSPs where the variables can take values from an infinite domain. This generalization enhances dramatically the range of computational problems that can be modeled as a CSP. Many problems from areas that have so far seen no interaction with constraint satisfaction theory can be formulated using infinite domains, e.g. problems from temporal and spatial reasoning, phylogenetic reconstruction, and operations research. #R##N#It turns out that the universal-algebraic approach can also be applied to study large classes of infinite-domain CSPs, yielding elegant complexity classification results. A new tool in this thesis that becomes relevant particularly for infinite domains is Ramsey theory. We demonstrate the feasibility of our approach with two complete complexity classification results: one on CSPs in temporal reasoning, the other on a generalization of Schaefer's theorem for propositional logic to logic over graphs. We also study the limits of complexity classification, and present classes of computational problems provably do not exhibit a complexity dichotomy into hard and easy problems.

Includes members:
  Member "absorbing subalgebras cyclic terms and the constraint satisfaction problem":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "topology is relevant in a dichotomy conjecture for infinite domain constraint satisfaction problems")
  Member "on the scope of the universal algebraic approach to constraint satisfaction":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "finite relation algebras with normal representations")
  Member "tractable set constraints":
    also connected through other hyperedges:
      (none)
  Member "datalog and constraint satisfaction with infinite templates":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "asnp a tame fragment of existential second order logic")
  Member "a fast algorithm and datalog inexpressibility for temporal reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "constraint satisfaction tractability from semi lattice operations on infinite sets")
  Member "cores of countably categorical structures":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "topology is relevant in a dichotomy conjecture for infinite domain constraint satisfaction problems")
  Member "a characterisation of first order constraint satisfaction problems":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "rewritability in monadic disjunctive datalog mmsnp and expressive description logics")
  Member "linear datalog and bounded path duality of relational structures":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "characterizations and approximability of hard counting classes below p")

Question: Please tell me which class the source paper 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.CC(Computational Complexity)