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: "the anatomy of the facebook social graph"
  Abstract: We study the structure of the social graph of active Facebook users, the largest social network ever analyzed. We compute numerous features of the graph including the number of users and friendships, the degree distribution, path lengths, clustering, and mixing patterns. Our results center around three main observations. First, we characterize the global structure of the graph, determining that the social network is nearly fully connected, with 99.91% of individuals belonging to a single large connected component, and we confirm the "six degrees of separation" phenomenon on a global scale. Second, by studying the average local clustering coefficient and degeneracy of graph neighborhoods, we show that while the Facebook graph as a whole is clearly sparse, the graph neighborhoods of users contain surprisingly dense structure. Third, we characterize the assortativity patterns present in the graph by studying the basic demographic and network properties of users. We observe clear degree assortativity and characterize the extent to which "your friends have more friends than you". Furthermore, we observe a strong effect of age on friendship preferences as well as a globally modular community structure driven by nationality, but we do not find any strong gender homophily. We compare our results with those from smaller social networks and find mostly, but not entirely, agreement on common structural network characteristics.

Connected through hyperedge HE-1 (induced by source paper "graph bert only attention is needed for learning graph representations"):
  with members:
    - "isonn isomorphic neural network for graph representation learning and classification"
    - "transformer xl attentive language models beyond a fixed length context"
    - "gresnet graph residual network for reviving deep gnns from suspended animation"
    - "segen sample ensemble genetic evolutionary network model"
    - "rethinking imagenet pre training"
    - "bert pre training of deep bidirectional transformers for language understanding"
    - "deep loopy neural network model for graph structured data representation learning"
    - "junction tree variational autoencoder for molecular graph generation"

Connected through hyperedge HE-2 (induced by source paper "the ldbc social network benchmark"):
  with members:
    - "g core a core for future graph query languages"
    - "foundations of modern query languages for graph databases"

Connected through hyperedge HE-3 (induced by source paper "a quotient space formulation for statistical analysis of graphical data"):
  with members:
    - "unsupervised inductive graph level representation learning via graph graph proximity"
    - "harp hierarchical representation learning for networks"
    - "graph2vec learning distributed representations of graphs"
    - "node2vec scalable feature learning for networks"
    - "predicting user roles in social networks using transfer learning with feature transformation"
    - "semi supervised classification with graph convolutional networks"
    - "convolutional neural networks on graphs with fast localized spectral filtering"
    - "line large scale information network embedding"

Connected through hyperedge HE-4 (induced by source paper "modeling and analysis of tagging networks in stack exchange communities"):
  with members:
    - "simplicial closure and higher order link prediction"
    - "choosing to grow a graph modeling network formation as discrete choice"
    - "motifs in temporal networks"
    - "subgraph frequencies mapping the empirical and extremal geography of large graph collections"
    - "who is authoritative understanding reputation mechanisms in quora"
    - "discovering social circles in ego networks"
    - "social structure of facebook networks"
    - "collective dynamics of social annotation"

Connected through hyperedge HE-5 (induced by source paper "challenges in the decentralised web the mastodon case"):
  with members:
    - "what is gab a bastion of free speech or an alt right echo chamber"
    - "facebook a live are live social broadcasts really broadcasts"
    - "multi task dialog act and sentiment recognition on mastodon"
    - "recommending users whom to follow on federated social networks"
    - "valorising the iot databox creating value for everyone"
    - "conjoining speeds up information diffusion in overlaying social physical networks"
    - "unraveling bittorrent s file unavailability measurements analysis and solution exploration"

Connected through hyperedge HE-6 (induced by source paper "clusternor a numa optimized clustering framework"):
  with members:
    - "knor a numa optimized in memory distributed and semi external memory k means library"
    - "mllib machine learning in apache spark"
    - "flashgraph processing billion node graphs on an array of commodity ssds"
    - "mlpack a scalable c machine learning library"
    - "graphlab a new framework for parallel machine learning"

Connected through hyperedge HE-7 (induced by source paper "network constraints on the mixing patterns of binary node metadata"):
  with members:
    - "multiscale mixing patterns in networks"
    - "the ground truth about metadata and community detection in networks"
    - "the majority illusion in social networks"
    - "assembling thefacebook using heterogeneity to understand online social network assembly"
    - "social structure of facebook networks"

Connected through hyperedge HE-8 (induced by source paper "offline biases in online platforms a study of diversity and homophily in airbnb"):
  with members:
    - "digital identity the effect of trust and reputation information on user judgement in the sharing economy"
    - "who benefits from the sharing economy of airbnb"
    - "gender identity and lexical variation in social media"

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.SI(Social and Information Networks)