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: "a convenient differential category"
  Abstract: In this paper, we show that the category of Mackey-complete, separated, topological convex bornological vector spaces and bornological linear maps is a differential category. Such spaces were introduced by Fr\"olicher and Kriegl, where they were called convenient vector spaces. While much of the structure necessary to demonstrate this observation is already contained in Fr\"olicher and Kriegl's book, we here give a new interpretation of the category of convenient vector spaces as a model of the differential linear logic of Ehrhard and Regnier. Rather than base our proof on the abstract categorical structure presented by Fr\"olicher and Kriegl, we prefer to focus on the bornological structure of convenient vector spaces. We believe bornological structures will ultimately yield a wide variety of models of differential logics.

Connected through hyperedge HE-1 (induced by source paper "a differential form pullback programming language for higher order reverse mode automatic differentiation"):
  with members:
    - "a simple differentiable programming language"
    - "backpropagation in the simply typed lambda calculus with linear negation"
    - "pytorch an imperative style high performance deep learning library"
    - "demystifying differentiable programming shift reset the penultimate backpropagator"
    - "the simple essence of automatic differentiation"
    - "theano a python framework for fast computation of mathematical expressions"
    - "tensorflow a system for large scale machine learning"
    - "automatic differentiation in machine learning a survey"

Connected through hyperedge HE-2 (induced by source paper "a simple differentiable programming language"):
  with members:
    - "pytorch an imperative style high performance deep learning library"
    - "efficient differentiable programming in a functional array processing language"
    - "demystifying differentiable programming shift reset the penultimate backpropagator"
    - "dynamic control flow in large scale machine learning"
    - "the simple essence of automatic differentiation"
    - "tangent automatic differentiation using source code transformation for dynamically typed array programming"
    - "developing bug free machine learning systems with formal mathematics"
    - "tricks from deep learning"

Connected through hyperedge HE-3 (induced by source paper "change actions from incremental computation to discrete derivatives"):
  with members:
    - "the differential calculus of causal functions"
    - "change actions models of generalised differentiation"
    - "differentiable causal computations via delayed trace"
    - "evolving the incremental λ calculus into a model of forward automatic differentiation ad"
    - "mackey complete spaces and power series a topological model of differential linear logic"
    - "rex recursive delta based data centric computation"
    - "a computational definition of the notion of vectorial space"

Connected through hyperedge HE-4 (induced by source paper "change actions models of generalised differentiation"):
  with members:
    - "fixing incremental computation derivatives of fixpoints and the recursive semantics of datalog"
    - "evolving the incremental λ calculus into a model of forward automatic differentiation ad"

Connected through hyperedge HE-5 (induced by source paper "jets and differential linear logic"):
  with members:
    - "reverse derivative categories"
    - "pde net 2 0 learning pdes from data with a numeric symbolic hybrid deep network"
    - "efficient neural architecture search via parameter sharing"
    - "cofree coalgebras and differential linear logic"
    - "an introduction to differential linear logic proof nets models and antiderivatives"
    - "neural architecture search with reinforcement learning"
    - "mackey complete spaces and power series a topological model of differential linear logic"

Connected through hyperedge HE-6 (induced by source paper "linear logic in normed cones probabilistic coherence spaces and beyond"):
  with members:
    - "measurable cones and stable measurable functions a model for probabilistic higher order programming"
    - "on banach spaces of sequences and free linear logic exponential modality"
    - "weak topologies for linear logic"

Connected through hyperedge HE-7 (induced by source paper "cofree coalgebras and differential linear logic"):
  with members:
    - "an introduction to differential linear logic proof nets models and antiderivatives"

Connected through hyperedge HE-8 (induced by source paper "mackey complete spaces and power series a topological model of differential linear logic"):
  with members:
    - "an introduction to differential linear logic proof nets models and antiderivatives"

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)