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: "ethical dimensions of visualization research"
  Abstract: Visualizations have a potentially enormous influence on how data are used to make decisions across all areas of human endeavor. However, it is not clear how this power connects to ethical duties: what obligations do we have when it comes to visualizations and visual analytics systems, beyond our duties as scientists and engineers? Drawing on historical and contemporary examples, I address the moral components of the design and use of visualizations, identify some ongoing areas of visualization research with ethical dilemmas, and propose a set of additional moral obligations that we have as designers, builders, and researchers of visualizations.

Connected through hyperedge HE-1 (induced by source paper "surfacing visualization mirages"):
  with members:
    - "truncating the y axis threat or menace"
    - "illusion of causality in visualized data"
    - "sociotechnical considerations for accessible visualization design"
    - "discriminability tests for visualization effectiveness and scalability"
    - "visual cues in estimation of part to whole comparison"
    - "excelint automatically finding spreadsheetformula errors"
    - "bias in olap queries detection explanation and removal"
    - "predicting financial crime augmenting the predictive policing arsenal"

Connected through hyperedge HE-2 (induced by source paper "tapestry a blockchain based service for trusted interaction online"):
  with members:
    - "composite behavioral modeling for identity theft detection in online social networks"
    - "group anomaly detection using deep generative models"
    - "a first look at identity management schemes on the blockchain"
    - "deep image retrieval learning global representations for image search"
    - "cnn image retrieval learns from bow unsupervised fine tuning with hard examples"
    - "facenet a unified embedding for face recognition and clustering"
    - "a primer on neural network models for natural language processing"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-3 (induced by source paper "criteria for rigor in visualization design study"):
  with members:
    - "a framework for creative visualization opportunities workshops"
    - "graffinity visualizing connectivity in large graphs"

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.HC(Human-Computer Interaction)