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: "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"
  Abstract: This article presents a measure of semantic similarity in an IS-A taxonomy based on the notion of shared information content. Experimental evaluation against a benchmark set of human similarity judgments demonstrates that the measure performs better than the traditional edge-counting approach. The article presents algorithms that take advantage of taxonomic similarity in resolving syntactic and semantic ambiguity, along with experimental results demonstrating their effectiveness.

Connected through hyperedge HE-1 (induced by source paper "benchmark performance of machine and deep learning based methodologies for urdu text document classification"):
  with members:
    - "on correlation of features extracted by deep neural networks"
    - "a simple joint model for improved contextual neural lemmatization"
    - "reducing bert pre training time from 3 days to 76 minutes"
    - "word embeddings a survey"
    - "a robust hybrid approach for textual document classification"
    - "character n gram embeddings to improve rnn language models"
    - "large batch optimization for deep learning training bert in 76 minutes"
    - "roberta a robustly optimized bert pretraining approach"

Connected through hyperedge HE-2 (induced by source paper "an overview of distance and similarity functions for structured data"):
  with members:
    - "graph matching networks for learning the similarity of graph structured objects"
    - "relational inductive biases deep learning and graph networks"
    - "how powerful are graph neural networks"
    - "an empirical evaluation of similarity measures for time series classification"
    - "a survey on metric learning for feature vectors and structured data"
    - "time warp edit distance with stiffness adjustment for time series matching"
    - "support vector machine classification with indefinite kernels"

Connected through hyperedge HE-3 (induced by source paper "quantifying similarity between relations with fact distribution"):
  with members:
    - "rotate knowledge graph embedding by relational rotation in complex space"
    - "unsupervised open relation extraction"
    - "modeling relation paths for representation learning of knowledge bases"
    - "classifying relations by ranking with convolutional neural networks"
    - "adam a method for stochastic optimization"
    - "embedding entities and relations for learning and inference in knowledge bases"
    - "efficient estimation of word representations in vector space"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-4 (induced by source paper "competing topic naming conventions in quora predicting appropriate topic merges and winning topics from millions of topic pairs"):
  with members:
    - "universal sentence encoder"
    - "deep dive into anonymity a large scale analysis of quora questions"
    - "language use matters analysis of the linguistic structure of question texts can characterize answerability in quora"
    - "competition and selection among conventions"
    - "bieber blast bieberblast early prediction of popular hashtag compounds"
    - "analysis of named entity recognition and linking for tweets"
    - "distributed representations of sentences and documents"
    - "efficient estimation of word representations in vector space"

Connected through hyperedge HE-5 (induced by source paper "an ontology based recommender system with an application to the star trek television franchise"):
  with members:
    - "the literary theme ontology for media annotation and information retrieval"
    - "hybrid recommender systems a systematic literature review"
    - "slope one predictors for online rating based collaborative filtering"

Connected through hyperedge HE-6 (induced by source paper "learning graph embeddings from wordnet based similarity measures"):
  with members:
    - "a constrained randomized shortest paths framework for optimal exploration"
    - "representation learning on graphs methods and applications"
    - "semantic specialisation of distributional word vector spaces using monolingual and cross lingual constraints"
    - "de conflated semantic representations"
    - "node2vec scalable feature learning for networks"
    - "autoextend extending word embeddings to embeddings for synsets and lexemes"
    - "adam a method for stochastic optimization"
    - "deepwalk online learning of social representations"

Connected through hyperedge HE-7 (induced by source paper "music sequence prediction with mixture hidden markov models"):
  with members:
    - "understanding beauty via deep facial features"
    - "anonymousnet natural face de identification with measurable privacy"
    - "component attention guided face super resolution network cagface"
    - "multiclass information flow propagation control under vehicle to vehicle communication environments"
    - "cooperative adaptive cruise control for connected autonomous vehicles by factoring communication related constraints"
    - "youtube av 50k an annotated corpus for comments in autonomous vehicles"
    - "cooperative adaptive cruise control for a platoon of connected and autonomous vehicles considering dynamic information flow topology"
    - "towards reading hidden emotions a comparative study of spontaneous micro expression spotting and recognition methods"

Connected through hyperedge HE-8 (induced by source paper "is your statement purposeless predicting computer science graduation admission acceptance based on statement of purpose"):
  with members:
    - "leveraging cognitive features for sentiment analysis"
    - "learning phrase representations using rnn encoder decoder for statistical machine translation"
    - "distributed representations of words and phrases and their compositionality"

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)