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: "nlp2code code snippet content assist via natural language tasks"
  Abstract: Developers increasingly take to the Internet for code snippets to integrate into their programs. To save developers the time required to switch from their development environments to a web browser in the quest for a suitable code snippet, we introduce NLP2Code, a content assist for code snippets. Unlike related tools, NLP2Code integrates directly into the source code editor and provides developers with a content assist feature to close the vocabulary gap between developers' needs and code snippet meta data. Our preliminary evaluation of NLP2Code shows that the majority of invocations lead to code snippets rated as helpful by users and that the tool is able to support a wide range of tasks.

Connected through hyperedge HE-1 (induced by source paper "recommending comprehensive solutions for programming tasks by mining crowd knowledge"):
  with members:
    - "strict information retrieval based search term identification for concept location"
    - "effective reformulation of query for code search using crowdsourced knowledge and extra large data analytics"
    - "comment generation for source code state of the art challenges and opportunities"
    - "rack code search in the ide using crowdsourced knowledge"
    - "more accurate recommendations for method level changes"
    - "enriching word vectors with subword information"
    - "rack automatic api recommendation using crowdsourced knowledge"
    - "deep api learning"

Connected through hyperedge HE-2 (induced by source paper "diffque estimating relative difficulty of questions in community question answering services"):
  with members:
    - "cqasumm building references for community question answering summarization corpora"
    - "leveraging unlabeled data for crowd counting by learning to rank"
    - "a study of question effectiveness using reddit ask me anything threads"
    - "distributed representations of sentences and documents"

Connected through hyperedge HE-3 (induced by source paper "enhancing python compiler error messages via stack overflow"):
  with members:
    - "toxic code snippets on stack overflow"
    - "automatically generating documentation for lambda expressions in java"

Connected through hyperedge HE-4 (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"
    - "from query to usable code an analysis of stack overflow code snippets"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "effective reformulation of query for code search using crowdsourced knowledge and extra large data analytics"):
  with members:
    - "strict information retrieval based search term identification for concept location"
    - "improved query reformulation for concept location using coderank and document structures"
    - "enriching word vectors with subword information"
    - "rack automatic api recommendation using crowdsourced knowledge"
    - "quickar automatic query reformulation for concept location using crowdsourced knowledge"
    - "query expansion based on crowd knowledge for code search"
    - "towards a context aware ide based meta search engine for recommendation about programming errors and exceptions"
    - "on the use of context in recommending exception handling code examples"

Connected through hyperedge HE-6 (induced by source paper "bridging semantic gaps between natural languages and apis with word embedding"):
  with members:
    - "query expansion based on crowd knowledge for code search"
    - "swim synthesizing what i mean code search and idiomatic snippet synthesis"
    - "sequence to sequence learning with neural networks"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"
    - "the google similarity distance"

Connected through hyperedge HE-7 (induced by source paper "usage and attribution of stack overflow code snippets in github projects"):
  with members:
    - "sotorrent reconstructing and analyzing the evolution of stack overflow posts"
    - "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"
    - "from query to usable code an analysis of stack overflow code snippets"

Connected through hyperedge HE-8 (induced by source paper "sotorrent reconstructing and analyzing the evolution of stack overflow posts"):
  with members:
    - "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"
    - "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)