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: "image inspired poetry generation in xiaoice"
  Abstract: Vision is a common source of inspiration for poetry. The objects and the sentimental imprints that one perceives from an image may lead to various feelings depending on the reader. In this paper, we present a system of poetry generation from images to mimic the process. Given an image, we first extract a few keywords representing objects and sentiments perceived from the image. These keywords are then expanded to related ones based on their associations in human written poems. Finally, verses are generated gradually from the keywords using recurrent neural networks trained on existing poems. Our approach is evaluated by human assessors and compared to other generation baselines. The results show that our method can generate poems that are more artistic than the baseline methods. This is one of the few attempts to generate poetry from images. By deploying our proposed approach, XiaoIce has already generated more than 12 million poems for users since its release in July 2017. A book of its poems has been published by Cheers Publishing, which claimed that the book is the first-ever poetry collection written by an AI in human history.

Connected through hyperedge HE-1 (induced by source paper "mappa mundi an interactive artistic mind map generator with artificial imagination"):
  with members:
    - "from knowledge map to mind map artificial imagination"
    - "conditioning deep generative raw audio models for structured automatic music"
    - "deep contextualized word representations"
    - "attngan fine grained text to image generation with attentional generative adversarial networks"
    - "conditional image generation with pixelcnn decoders"
    - "image to image translation with conditional adversarial networks"
    - "deepbach a steerable model for bach chorales generation"
    - "attribute2image conditional image generation from visual attributes"

Connected through hyperedge HE-2 (induced by source paper "deep learning and sub word unit approach in written art generation"):
  with members:
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "guess who multilingual approach for the automated generation of author stylized poetry"
    - "universal language model fine tuning for text classification"
    - "beyond narrative description generating poetry from images by multi adversarial training"
    - "flexible and creative chinese poetry generation using neural memory"
    - "cyclical learning rates for training neural networks"
    - "neural machine translation of rare words with subword units"

Connected through hyperedge HE-3 (induced by source paper "from knowledge map to mind map artificial imagination"):
  with members:
    - "conditioning deep generative raw audio models for structured automatic music"
    - "attngan fine grained text to image generation with attentional generative adversarial networks"
    - "conditional image generation with pixelcnn decoders"
    - "deepbach a steerable model for bach chorales generation"
    - "attribute2image conditional image generation from visual attributes"

Connected through hyperedge HE-4 (induced by source paper "the design and implementation of xiaoice an empathetic social chatbot"):
  with members:
    - "challenges in building intelligent open domain dialog systems"
    - "advancing the state of the art in open domain dialog systems through the alexa prize"
    - "response generation by context aware prototype editing"
    - "from eliza to xiaoice challenges and opportunities with social chatbots"
    - "wizard of wikipedia knowledge powered conversational agents"
    - "neural approaches to conversational ai"
    - "a study on dialogue reward prediction for open ended conversational agents"
    - "sounding board a user centric and content driven social chatbot"

Connected through hyperedge HE-5 (induced by source paper "generating lyrics with variational autoencoder and multi modal artist embeddings"):
  with members:
    - "jtav jointly learning social media content representation by fusing textual acoustic and visual features"
    - "guess who multilingual approach for the automated generation of author stylized poetry"
    - "toward controlled generation of text"
    - "style transfer in text exploration and evaluation"
    - "very deep convolutional networks for large scale image recognition"
    - "convolutional neural networks for sentence classification"

Connected through hyperedge HE-6 (induced by source paper "shall i compare thee to a machine written sonnet an approach to algorithmic sonnet generation"):
  with members:
    - "deep speare a joint neural model of poetic language meter and rhyme"
    - "chinese poetry generation with a working memory model"
    - "beyond narrative description generating poetry from images by multi adversarial training"
    - "chinese poetry generation with planning based neural network"

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.AI(Artificial Intelligence)