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: "exploration and visualization in the web of big linked data a survey of the state of the art"
  Abstract: Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we describe the major prerequisites and challenges that should be addressed by the modern exploration and visualization systems. Considering these challenges, we present how state-of-the-art approaches from the Database and Information Visualization communities attempt to handle them. Finally, we survey the systems developed by Semantic Web community in the context of the Web of Linked Data, and discuss to which extent these satisfy the contemporary requirements.

Connected through hyperedge HE-1 (induced by source paper "path outlines browsing path based summaries of linked open datasets"):
  with members:
    - "learnable programming blocks and beyond"

Connected through hyperedge HE-2 (induced by source paper "visualization of very large high dimensional data sets as minimum spanning trees"):
  with members:
    - "moleculenet a benchmark for molecular machine learning"
    - "improved consistent weighted sampling revisited"
    - "hashing for similarity search a survey"
    - "complexity of word collocation networks a preliminary structural analysis"

Connected through hyperedge HE-3 (induced by source paper "big data visualization tools"):
  with members:
    - "graphvizdb a scalable platform for interactive large graph visualization"
    - "dinodb an interactive speed query engine for ad hoc queries on temporary data"
    - "visualization aware sampling for very large databases"
    - "a hierarchical aggregation framework for efficient multilevel visual exploration and analysis"
    - "large graph analysis in the gmine system"
    - "blinkdb queries with bounded errors and bounded response times on very large data"

Connected through hyperedge HE-4 (induced by source paper "graphvizdb a scalable platform for interactive large graph visualization"):
  with members:
    - "towards scalable visual exploration of very large rdf graphs"
    - "gmine a system for scalable interactive graph visualization and mining"

Connected through hyperedge HE-5 (induced by source paper "a hierarchical aggregation framework for efficient multilevel visual exploration and analysis"):
  with members:
    - "graphvizdb a scalable platform for interactive large graph visualization"
    - "towards scalable visual exploration of very large rdf graphs"
    - "visualization aware sampling for very large databases"
    - "rapid sampling for visualizations with ordering guarantees"
    - "rdf synopsviz a framework for hierarchical linked data visual exploration and analysis"
    - "large graph analysis in the gmine system"
    - "blinkdb queries with bounded errors and bounded response times on very large data"

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)