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 "tensors graphs and non commutative quantum structures extended version"):
  Abstract: !-graphs provide a means of reasoning about infinite families of string diagrams and have proven useful in manipulation of (co)algebraic structures like Hopf algebras, Frobenius algebras, and compositions thereof. However, they have previously been limited by an inability to express families of diagrams involving non-commutative structures which play a central role in algebraic quantum information and the theory of quantum groups. In this paper, we fix this shortcoming by offering a new semantics for non-commutative !-graphs using an enriched version of Penrose's abstract tensor notation.

Includes members:
  Member "compositional distributional semantics with compact closed categories and frobenius algebras":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the mathematics of text structure")
  Member "tensors graphs and non commutative quantum structures":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantomatic a proof assistant for diagrammatic reasoning")
  Member "reasoning with graphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a framework for rewriting families of string diagrams")
  Member "proceedings sixth workshop on developments in computational models causality computation and physics edinburgh scotland 9 10th july 2010":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "tensors graphs and non commutative quantum structures")
  Member "graphical reasoning in compact closed categories for quantum computation":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "encoding tensors as graphs with neighbourhood orders")

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.LO(Logic in Computer Science)