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: "hybrid v csps and algebraic reductions"
  Abstract: Constraint Satisfaction Problem (CSP) can be stated as computing a homomorphism $\mbox{$\bR \rightarrow \bGamma$}$ between two relational structures, e.g.\ between two directed graphs. #R##N#Recently, the {\em hybrid} setting, where both sides are restricted simultaneously, attracted some attention. It assumes that the right side structure $\bGamma$ is fixed and $\bR$ belongs to a class of relational structures $\mathcal{H}$ (called a {\em structural restriction}) that is, additionally, {\em closed under inverse homomorphisms}. The key tool that connects hybrid CSPs with fixed-template CSPs is a construction called a "lifted language," namely a multi-sorted language $\bGamma_{\bR}$ that can be constructed from an input $\bR$. The tractability of a language $\bGamma_{\bR}$ for any input $\bR\in\mathcal{H}$ is a necessary condition for tractability of the hybrid problem. #R##N#First we investigate the case when the last property is not only necessary, but also is sufficient. It turns out that in the latter case, if Bulatov-Jeavons-Krokhin characterization of tractable constraint languages is correct, a structural restriction $\mathcal{H}$ is tractable if and only if it consists of structures that can be homomorphically mapped to some fixed finite relational structure $\bGamma'$ (that depends only on $\bGamma$). #R##N#In the second part we generalize the construction of $\bGamma'$ and introduce a finite structure $\bGamma^{\mathfrak{B}}$, indexed by some set of finite algebras $\mathfrak{B}$. We prove that under some natural conditions on $\mathfrak{B}$, $\textsc{CSP}(\bGamma)$ is polynomial-time Turing reducible to $\textsc{CSP}(\bGamma^{\mathfrak{B}})$ and some polymorphisms of $\bGamma$ have analogs in $\pol(\bGamma^{\mathfrak{B}})$. This construction introduce a new set of algorithms for fixed-template CSPs and we suggest it as a tool to approach Feder-Vardi dichotomy conjecture.

Connected through hyperedge HE-1 (induced by source paper "on planar valued csps"):
  with members:
    - "the power of sherali adams relaxations for general valued csps"
    - "even delta matroids and the complexity of planar boolean csps"
    - "the complexity of finite valued csps"
    - "a galois connection for weighted relational clones of infinite size"
    - "necessary conditions for tractability of valued csps"
    - "algebraic properties of valued constraint satisfaction problem"
    - "the complexity of general valued csps"
    - "effectiveness of structural restrictions for hybrid csps"

Connected through hyperedge HE-2 (induced by source paper "the power of arc consistency for csps defined by partially ordered forbidden patterns"):
  with members:
    - "effectiveness of structural restrictions for hybrid csps"
    - "tractable hypergraph properties for constraint satisfaction and conjunctive queries"
    - "generalized majority minority operations are tractable"

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.CC(Computational Complexity)