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: "gistable evaluating the executability of python code snippets on github"
  Abstract: Software developers create and share code online to demonstrate programming language concepts and programming tasks. Code snippets can be a useful way to explain and demonstrate a programming concept, but may not always be directly executable. A code snippet can contain parse errors, or fail to execute if the environment contains unmet dependencies. #R##N#This paper presents an empirical analysis of the executable status of Python code snippets shared through the GitHub gist system, and the ability of developers familiar with software configuration to correctly configure and run them. We find that 75.6% of gists require non-trivial configuration to overcome missing dependencies, configuration files, reliance on a specific operating system, or some other environment configuration. Our study also suggests the natural assumption developers make about resource names when resolving configuration errors is correct less than half the time. #R##N#We also present Gistable, a database and extensible framework built on GitHub's gist system, which provides executable code snippets to enable reproducible studies in software engineering. Gistable contains 10,259 code snippets, approximately 5,000 with a Dockerfile to configure and execute them without import error. Gistable is publicly available at this https URL.

Connected through hyperedge HE-1 (induced by source paper "conflict and cooperation ai research and development in terms of the economy of conventions"):
  with members:
    - "identifying experts in software libraries and frameworks among github users"
    - "scibert pretrained contextualized embeddings for scientific text"
    - "was ist eine professur fuer kuenstliche intelligenz"
    - "an explorative study of github repositories of ai papers"
    - "won t we fix this issue qualitative characterization and automated identification of wontfix issues on github"
    - "estimating defectiveness of source code a predictive model using github content"
    - "what s in a github star understanding repository starring practices in a social coding platform"
    - "multi task identification of entities relations and coreference for scientific knowledge graph construction"

Connected through hyperedge HE-2 (induced by source paper "an empirical study of c vulnerabilities in crowd sourced code examples"):
  with members:
    - "toxic code snippets on stack overflow"
    - "how reliable is the crowdsourced knowledge of security implementation"
    - "oreo detection of clones in the twilight zone"
    - "sotorrent reconstructing and analyzing the evolution of stack overflow posts"
    - "sotorrent studying the origin evolution and usage of stack overflow code snippets"
    - "secure coding practices in java challenges and vulnerabilities"
    - "stack overflow considered harmful the impact of copy paste on android application security"
    - "leveraging flawed tutorials for seeding large scale web vulnerability discovery"

Connected through hyperedge HE-3 (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"
    - "how to design a program repair bot insights from the repairnator project"
    - "tortoise interactive system configuration repair"
    - "stack overflow in github any snippets there"
    - "from query to usable code an analysis of stack overflow code snippets"
    - "a quantitative study of java software buildability"

Connected through hyperedge HE-4 (induced by source paper "executability of python snippets in stack overflow"):
  with members:
    - "toxic code snippets on stack overflow"
    - "sotorrent studying the origin evolution and usage of stack overflow code snippets"
    - "awareness and experience of developers to outdated and license violating code on stack overflow an online survey"
    - "stack overflow a code laundering platform"
    - "attribution required stack overflow code snippets in github projects"

Connected through hyperedge HE-5 (induced by source paper "dockerizeme automatic inference of environment dependencies for python code snippets"):
  with members:
    - "automated localization for unreproducible builds"
    - "tortoise interactive system configuration repair"
    - "from query to usable code an analysis of stack overflow code snippets"

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)