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: "augur mining human behaviors from fiction to power interactive systems"
  Abstract: From smart homes that prepare coffee when we wake, to phones that know not to interrupt us during important conversations, our collective visions of HCI imagine a future in which computers understand a broad range of human behaviors. Today our systems fall short of these visions, however, because this range of behaviors is too large for designers or programmers to capture manually. In this paper, we instead demonstrate it is possible to mine a broad knowledge base of human behavior by analyzing more than one billion words of modern fiction. Our resulting knowledge base, Augur, trains vector models that can predict many thousands of user activities from surrounding objects in modern contexts: for example, whether a user may be eating food, meeting with a friend, or taking a selfie. Augur uses these predictions to identify actions that people commonly take on objects in the world and estimate a user's future activities given their current situation. We demonstrate Augur-powered, activity-based systems such as a phone that silences itself when the odds of you answering it are low, and a dynamic music player that adjusts to your present activity. A field deployment of an Augur-powered wearable camera resulted in 96% recall and 71% precision on its unsupervised predictions of common daily activities. A second evaluation where human judges rated the system's predictions over a broad set of input images found that 94% were rated sensible.

Connected through hyperedge HE-1 (induced by source paper "tifi taxonomy induction for fictional domains extended version"):
  with members:
    - "integrating multiplicative features into supervised distributional methods for lexical entailment"
    - "hierarchical embeddings for hypernymy detection and directionality"
    - "taxonomy induction using hypernym subsequences"
    - "relations such as hypernymy identifying and exploiting hearst patterns in distributional vectors for lexical entailment"
    - "hypernyms under siege linguistically motivated artillery for hypernymy detection"
    - "inferring interpersonal relations in narrative summaries"
    - "you re mr lebowski i m the dude inducing address term formality in signed social networks"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-2 (induced by source paper "audio based activities of daily living adl recognition with large scale acoustic embeddings from online videos"):
  with members:
    - "audio set classification with attention model a probabilistic perspective"
    - "deep convolutional neural networks and data augmentation for environmental sound classification"
    - "cnn architectures for large scale audio classification"
    - "audiopairbank towards a large scale tag pair based audio content analysis"
    - "soundnet learning sound representations from unlabeled video"
    - "imbalanced learn a python toolbox to tackle the curse of imbalanced datasets in machine learning"
    - "anticipating visual representations from unlabeled video"
    - "smote synthetic minority over sampling technique"

Connected through hyperedge HE-3 (induced by source paper "predicting human activities from user generated content"):
  with members:
    - "smooth loss functions for deep top k classification"
    - "event2mind commonsense inference on events intents and reactions"
    - "direct network transfer transfer learning of sentence embeddings for semantic similarity"
    - "supervised learning of universal sentence representations from natural language inference data"
    - "attention is all you need"
    - "sort story sorting jumbled images and captions into stories"
    - "advances in human action recognition a survey"
    - "adam a method for stochastic optimization"

Connected through hyperedge HE-4 (induced by source paper "back to the future for dialogue research a position paper"):
  with members:
    - "a knowledge grounded neural conversation model"
    - "a neural conversational model"

Connected through hyperedge HE-5 (induced by source paper "iris a conversational agent for complex tasks"):
  with members:
    - "calendar help designing a workflow based scheduling agent with humans in the loop"
    - "identifying dogmatism in social media signals and models"
    - "learning language games through interaction"
    - "empath understanding topic signals in large scale text"
    - "building end to end dialogue systems using generative hierarchical neural network models"
    - "the ubuntu dialogue corpus a large dataset for research in unstructured multi turn dialogue systems"

Connected through hyperedge HE-6 (induced by source paper "programming bots by synthesizing natural language expressions into api invocations"):
  with members:
    - "rack automatic api recommendation using crowdsourced knowledge"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-7 (induced by source paper "empath understanding topic signals in large scale text"):
  with members:
    - "linguistic harbingers of betrayal a case study on an online strategy game"
    - "generating music from literature"
    - "distributed representations of words and phrases and their compositionality"
    - "a computational approach to politeness with application to social factors"
    - "crowdsourcing a word emotion association lexicon"
    - "finding deceptive opinion spam by any stretch of the imagination"
    - "modeling public mood and emotion twitter sentiment and socio economic phenomena"
    - "thumbs up or thumbs down semantic orientation applied to unsupervised classification of reviews"

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.HC(Human-Computer Interaction)