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: "compactly generating all satisfying truth assignments of a horn formula"
  Abstract: As instance of an overarching principle of exclusion an algorithm is presented that compactly (thus not one by one) generates all models of a Horn formula. The principle of exclusion can be adapted to generate only the models of weight $k$. We compare and contrast it with constraint programming, $0,1$ integer programming, and binary decision diagrams.

Connected through hyperedge HE-1 (induced by source paper "allsat compressed with wildcards from cnf s to orthogonal dnf s by imposing the clauses one by one"):
  with members:
    - "implementing efficient all solutions sat solvers"
    - "computing the output distribution and selection probabilities of a stack filter from the dnf of its positive boolean function"
    - "counting or producing all fixed cardinality transversals"

Connected through hyperedge HE-2 (induced by source paper "allsat compressed with wildcards partitionings and face numbers of simplicial complexes"):
  with members:
    - "allsat compressed with wildcards part 1 converting cnf s to orthogonal dnf s"
    - "inclusion exclusion meets exclusion"
    - "counting or producing all fixed cardinality transversals"

Connected through hyperedge HE-3 (induced by source paper "allsat compressed with wildcards part 1 converting cnf s to orthogonal dnf s"):
  with members:
    - "enumeration of enumeration algorithms"
    - "compressed representation of learning spaces"
    - "computing the output distribution and selection probabilities of a stack filter from the dnf of its positive boolean function"

Connected through hyperedge HE-4 (induced by source paper "compressed representation of learning spaces"):
  with members:
    - "the minimal hitting set generation problem algorithms and computation"
    - "the joy of implications aka pure horn functions mainly a survey"

Connected through hyperedge HE-5 (induced by source paper "inclusion exclusion meets exclusion"):
  with members:
    - "a novel type of branch and bound for maximum independent set"

Connected through hyperedge HE-6 (induced by source paper "counting or producing all fixed cardinality transversals"):
  with members:
    - "computing the output distribution and selection probabilities of a stack filter from the dnf of its positive boolean function"

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.LO(Logic in Computer Science)