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: "sustaining the internet with hyperbolic mapping"
  Abstract: Routing packets on the growing and changing underlying structure of the Internet is challenging and currently based only on local connectivity. Here, a global Internet map is devised: with a greedy forwarding algorithm, it is robust with respect to network growth, and allows speeds close to the theoretical best.

Connected through hyperedge HE-1 (induced by source paper "hyperkg hyperbolic knowledge graph embeddings for knowledge base completion"):
  with members:
    - "rotate knowledge graph embedding by relational rotation in complex space"
    - "tucker tensor factorization for knowledge graph completion"
    - "inferring concept hierarchies from text corpora via hyperbolic embeddings"
    - "multi relational poincar e graph embeddings"
    - "learning continuous hierarchies in the lorentz model of hyperbolic geometry"
    - "poincar e glove hyperbolic word embeddings"
    - "hyperbolic neural networks"
    - "from knowledge graph embedding to ontology embedding an analysis of the compatibility between vector space representations and rules"

Connected through hyperedge HE-2 (induced by source paper "hyperbolic graph neural networks"):
  with members:
    - "hyperbolic graph convolutional neural networks"
    - "link prediction based on graph neural networks"
    - "riemannian adaptive optimization methods"
    - "graph convolutional neural networks for web scale recommender systems"
    - "constrained graph variational autoencoders for molecule design"
    - "learning continuous hierarchies in the lorentz model of hyperbolic geometry"
    - "hyperbolic neural networks"
    - "modeling polypharmacy side effects with graph convolutional networks"

Connected through hyperedge HE-3 (induced by source paper "scalable hyperbolic recommender systems"):
  with members:
    - "hyperbolic attention networks"
    - "skip gram word embeddings in hyperbolic space"
    - "hyperbolic recommender systems"
    - "learning continuous hierarchies in the lorentz model of hyperbolic geometry"
    - "poincar e glove hyperbolic word embeddings"
    - "hyperbolic neural networks"
    - "embedding text in hyperbolic spaces"
    - "representation tradeoffs for hyperbolic embeddings"

Connected through hyperedge HE-4 (induced by source paper "tag2vec learning tag representations in tag networks"):
  with members:
    - "hyperbolic entailment cones for learning hierarchical embeddings"
    - "a survey on network embedding"
    - "heterogeneous information network embedding for meta path based proximity"
    - "poincar e embeddings for learning hierarchical representations"
    - "node2vec scalable feature learning for networks"
    - "a general framework for content enhanced network representation learning"
    - "pte predictive text embedding through large scale heterogeneous text networks"
    - "line large scale information network embedding"

Connected through hyperedge HE-5 (induced by source paper "learning graph structured data using poincar e embeddings and riemannian k means algorithms"):
  with members:
    - "metric learning on manifolds"
    - "a survey on network embedding"
    - "graph2vec learning distributed representations of graphs"
    - "community enhanced network representation learning for network analysis"
    - "from node embedding to community embedding"
    - "deepwalk online learning of social representations"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-6 (induced by source paper "from node embedding to community embedding a hyperbolic approach"):
  with members:
    - "hyperbolic neural networks"
    - "hyperlex a large scale evaluation of graded lexical entailment"
    - "node2vec scalable feature learning for networks"
    - "community enhanced network representation learning for network analysis"
    - "deepwalk online learning of social representations"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-7 (induced by source paper "link persistence and conditional distances in multiplex networks"):
  with members:
    - "a dynamic network model with persistent links and node specific latent variables with an application to the interbank market"
    - "an experimental investigation of hyperbolic routing with a smart forwarding plane in ndn"
    - "network mapping by replaying hyperbolic growth"
    - "spreading processes in multilayer networks"
    - "on the diameter of hyperbolic random graphs"
    - "network geometry inference using common neighbors"

Connected through hyperedge HE-8 (induced by source paper "heat hyperbolic embedding of attributed networks"):
  with members:
    - "attributed social network embedding"
    - "representation tradeoffs for hyperbolic embeddings"
    - "node2vec scalable feature learning for networks"
    - "network mapping by replaying hyperbolic growth"
    - "deepwalk online learning of social representations"
    - "representation learning a review and new perspectives"

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.NI(Networking and Internet Architecture)