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: "from query to usable code an analysis of stack overflow code snippets"
  Abstract: Enriched by natural language texts, Stack Overflow code snippets arean invaluable code-centric knowledge base of small units ofsource code. Besides being useful for software developers, theseannotated snippets can potentially serve as the basis for automatedtools that provide working code solutions to specific natural languagequeries. With the goal of developing automated tools with the Stack Overflowsnippets and surrounding text, this paper investigates the followingquestions: (1) How usable are the Stack Overflow code snippets? and(2) When using text search engines for matching on the naturallanguage questions and answers around the snippets, what percentage ofthe top results contain usable code snippets?A total of 3M code snippets are analyzed across four languages: C\#,Java, JavaScript, and Python. Python and JavaScript proved to be thelanguages for which the most code snippets are usable. Conversely,Java and C\# proved to be the languages with the lowest usabilityrate. Further qualitative analysis on usable Python snippets showsthe characteristics of the answers that solve the original question. Finally,we use Google search to investigate the alignment ofusability and the natural language annotations around code snippets, andexplore how to make snippets in Stack Overflow anadequate base for future automatic program generation.

Connected through hyperedge HE-1 (induced by source paper "code duplication on stack overflow"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "stack overflow in github any snippets there"
    - "attribution required stack overflow code snippets in github projects"

Connected through hyperedge HE-2 (induced by source paper "v2 fast detection of configuration drift in python"):
  with members:
    - "dockerizeme automatic inference of environment dependencies for python code snippets"
    - "finding faster configurations using flash"
    - "gistable evaluating the executability of python code snippets on github"
    - "how to design a program repair bot insights from the repairnator project"
    - "tortoise interactive system configuration repair"
    - "stack overflow in github any snippets there"
    - "a quantitative study of java software buildability"

Connected through hyperedge HE-3 (induced by source paper "toxic code snippets on stack overflow"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "stack overflow in github any snippets there"
    - "attribution required stack overflow code snippets in github projects"
    - "sourcerercc scaling code clone detection to big code"

Connected through hyperedge HE-4 (induced by source paper "analyzing and supporting adaptation of online code examples"):
  with members:
    - "usage and attribution of stack overflow code snippets in github projects"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "stack overflow a code laundering platform"
    - "stack overflow in github any snippets there"
    - "sourcerercc scaling code clone detection to big code"

Connected through hyperedge HE-5 (induced by source paper "dockerizeme automatic inference of environment dependencies for python code snippets"):
  with members:
    - "gistable evaluating the executability of python code snippets on github"
    - "automated localization for unreproducible builds"
    - "tortoise interactive system configuration repair"

Connected through hyperedge HE-6 (induced by source paper "framework code samples how are they maintained and used by developers"):
  with members:
    - "stack overflow in github any snippets there"
    - "an empirical study on the impact of refactoring activities on evolving client used apis"
    - "understanding the factors that impact the popularity of github repositories"

Connected through hyperedge HE-7 (induced by source paper "improving automatic source code summarization via deep reinforcement learning"):
  with members:
    - "deep reinforcement learning for sequence to sequence models"
    - "deep reinforcement learning based image captioning with embedding reward"
    - "sentence simplification with deep reinforcement learning"
    - "a parallel corpus of python functions and documentation strings for automated code documentation and code generation"
    - "tree to sequence attentional neural machine translation"
    - "deep reinforcement learning for dialogue generation"
    - "gated graph sequence neural networks"
    - "re evaluating automatic metrics for image captioning"

Connected through hyperedge HE-8 (induced by source paper "staqc a systematically mined question code dataset from stack overflow"):
  with members:
    - "a parallel corpus of python functions and documentation strings for automated code documentation and code generation"
    - "abstract syntax networks for code generation and semantic parsing"
    - "a neural architecture for generating natural language descriptions from source code changes"
    - "a syntactic neural model for general purpose code generation"
    - "nlp2code code snippet content assist via natural language tasks"
    - "latent predictor networks for code generation"
    - "a convolutional attention network for extreme summarization of source code"
    - "swim synthesizing what i mean code search and idiomatic snippet synthesis"

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.SE(Software Engineering)