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: "on the linearity of semantic change investigating meaning variation via dynamic graph models"
  Abstract: We consider two graph models of semantic change. The first is a time-series model that relates embedding vectors from one time period to embedding vectors of previous time periods. In the second, we construct one graph for each word: nodes in this graph correspond to time points and edge weights to the similarity of the word's meaning across two time points. We apply our two models to corpora across three different languages. We find that semantic change is linear in two senses. Firstly, today's embedding vectors (= meaning) of words can be derived as linear combinations of embedding vectors of their neighbors in previous time periods. Secondly, self-similarity of words decays linearly in time. We consider both findings as new laws/hypotheses of semantic change.

Connected through hyperedge HE-1 (induced by source paper "learning dynamic author representations with temporal language models"):
  with members:
    - "unsupervised text style transfer using language models as discriminators"
    - "multiple attribute text style transfer"
    - "deep contextualized word representations"
    - "an analysis of neural language modeling at multiple scales"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "construction of the literature graph in semantic scholar"
    - "dynamic word embeddings for evolving semantic discovery"
    - "an empirical evaluation of generic convolutional and recurrent networks for sequence modeling"

Connected through hyperedge HE-2 (induced by source paper "dynamic network embeddings for network evolution analysis"):
  with members:
    - "dyngem deep embedding method for dynamic graphs"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "struc2vec learning node representations from structural identity"
    - "motifs in temporal networks"
    - "timers error bounded svd restart on dynamic networks"
    - "adversarial network embedding"
    - "scalable temporal latent space inference for link prediction in dynamic social networks"

Connected through hyperedge HE-3 (induced by source paper "leveraging contextual embeddings for detecting diachronic semantic shift"):
  with members:
    - "short term meaning shift a distributional exploration"
    - "ernie 2 0 a continual pre training framework for language understanding"
    - "xlnet generalized autoregressive pretraining for language understanding"
    - "sentencepiece a simple and language independent subword tokenizer and detokenizer for neural text processing"
    - "deep contextualized word representations"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "diachronic word embeddings and semantic shifts a survey"
    - "incremental skip gram model with negative sampling"

Connected through hyperedge HE-4 (induced by source paper "time out temporal referencing for robust modeling of lexical semantic change"):
  with members:
    - "gasc genre aware semantic change for ancient greek"
    - "survey of computational approaches to lexical semantic change"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "german in flux detecting metaphoric change via word entropy"
    - "inducing domain specific sentiment lexicons from unlabeled corpora"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "statistically significant detection of linguistic change"

Connected through hyperedge HE-5 (induced by source paper "a wind of change detecting and evaluating lexical semantic change across times and domains"):
  with members:
    - "survey of computational approaches to diachronic conceptual change"
    - "distribution based prediction of the degree of grammaticalization for german prepositions"
    - "a robust self learning method for fully unsupervised cross lingual mappings of word embeddings"
    - "dialectometric analysis of language variation in twitter"
    - "competition and selection among conventions"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"
    - "tracing metaphors in time through self distance in vector spaces"
    - "diachronic word embeddings reveal statistical laws of semantic change"

Connected through hyperedge HE-6 (induced by source paper "semantic change and emerging tropes in a large corpus of new high german poetry"):
  with members:
    - "diachronic topics in new high german poetry"
    - "diachronic word embeddings and semantic shifts a survey"
    - "diachronic word embeddings reveal statistical laws of semantic change"

Connected through hyperedge HE-7 (induced by source paper "survey of computational approaches to lexical semantic change"):
  with members:
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "modeling the dynamics of domain specific terminology in diachronic corpora"
    - "detecting and assessing contextual change in diachronic text documents using context volatility"
    - "words are malleable computing semantic shifts in political and media discourse"
    - "inducing domain specific sentiment lexicons from unlabeled corpora"
    - "the social dynamics of language change in online networks"

Connected through hyperedge HE-8 (induced by source paper "survey of computational approaches to diachronic conceptual change"):
  with members:
    - "survey of computational approaches to lexical semantic change"
    - "the road to success assessing the fate of linguistic innovations in online communities"
    - "dynamic word embeddings for evolving semantic discovery"
    - "diachronic word embeddings and semantic shifts a survey"
    - "detecting and assessing contextual change in diachronic text documents using context volatility"
    - "words are malleable computing semantic shifts in political and media discourse"
    - "the social dynamics of language change in online networks"
    - "cultural shift or linguistic drift comparing two computational measures of semantic change"

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.CL(Computation and Language)