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: "bosam a topology visualisation tool for large scale complex networks"
  Abstract: Many information and communications networks are very large and they exhibit extremely complex structures. Here we propose a topology visualisation tool, called the bitmap of sorted adjacency matrix (BOSAM), which illustrates the connectivity information of a network as a bitmap image. We show that by using carefully designed rules to sort network node in specific orders, the produced bitmaps are able to reveal interesting patterns associated with the network structures. This simple tool can facilitate the study on characterising and modelling large-scale complex networks such as the Internet and peer-to-peer (P2P) networks.

Connected through hyperedge HE-1 (induced by source paper "disentangling interpretable generative parameters of random and real world graphs"):
  with members:
    - "towards interpretable sparse graph representation learning with laplacian pooling"
    - "constrained graph variational autoencoders for molecule design"
    - "graphvae towards generation of small graphs using variational autoencoders"
    - "isolating sources of disentanglement in variational autoencoders"
    - "learning deep generative models of graphs"
    - "geometric deep learning going beyond euclidean data"
    - "gated graph sequence neural networks"
    - "node2vec scalable feature learning for networks"

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)