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: "effortless data exploration with zenvisage an expressive and interactive visual analytics system"
  Abstract: Data visualization is by far the most commonly used mechanism to explore data, especially by novice data analysts and data scientists. And yet, current visual analytics tools are rather limited in their ability to guide data scientists to interesting or desired visualizations: the process of visual data exploration remains cumbersome and time-consuming. We propose zenvisage, a platform for effortlessly visualizing interesting patterns, trends, or insights from large datasets. We describe zenvisage's general purpose visual query language, ZQL ("zee-quel") for specifying the desired visual trend, pattern, or insight - ZQL draws from use-cases in a variety of domains, including biology, mechanical engineering, climate science, and commerce. We formalize the expressiveness of ZQL via a visual exploration algebra, and demonstrate that ZQL is at least as expressive as that algebra. While analysts are free to use ZQL directly, we also expose ZQL via a visual specification interface that we describe in this paper. We then describe our architecture and optimizations, preliminary experiments in supporting and optimizing for ZQL queries in our initial zenvisage prototype, and a user study to evaluate whether data scientists are able to effectively use zenvisage for real applications.

Connected through hyperedge HE-1 (induced by source paper "automated machine learning state of the art and open challenges"):
  with members:
    - "learning internal representations"
    - "meta learning a survey"
    - "autostacker a compositional evolutionary learning system"
    - "regularized evolution for image classifier architecture search"
    - "rafiki machine learning as an analytics service system"
    - "neural architecture optimization"
    - "darts differentiable architecture search"
    - "neural architecture search with bayesian optimisation and optimal transport"

Connected through hyperedge HE-2 (induced by source paper "an observational investigation of reverse engineers processes"):
  with members:
    - "how professional hackers understand protected code while performing attack tasks"
    - "rise of the hacrs augmenting autonomous cyber reasoning systems with human assistance"
    - "pagai a path sensitive static analyzer"
    - "expert programming knowledge a schema based approach"

Connected through hyperedge HE-3 (induced by source paper "exploration of interesting dense regions in spatial data"):
  with members:
    - "disc diversity result diversification based on dissimilarity and coverage"

Connected through hyperedge HE-4 (induced by source paper "shapesearch a flexible and efficient system for shape based exploration of trendlines"):
  with members:
    - "you can t always sketch what you want understanding sensemaking in visual query systems"
    - "approximate queries and representations for large data sequences"

Connected through hyperedge HE-5 (induced by source paper "drop dimensionality reduction optimization for time series"):
  with members:
    - "fashion mnist a novel image dataset for benchmarking machine learning algorithms"
    - "macrobase prioritizing attention in fast data"
    - "fma a dataset for music analysis"
    - "training region based object detectors with online hard example mining"
    - "streaming pca matching matrix bernstein and near optimal finite sample guarantees for oja s algorithm"
    - "spectrum estimation from samples"
    - "global convergence of stochastic gradient descent for some non convex matrix problems"
    - "a stochastic pca and svd algorithm with an exponential convergence rate"

Connected through hyperedge HE-6 (induced by source paper "roaring bitmaps implementation of an optimized software library"):
  with members:
    - "faster population counts using avx2 instructions"
    - "consistently faster and smaller compressed bitmaps with roaring"
    - "array layouts for comparison based searching"
    - "simd compression and the intersection of sorted integers"
    - "better bitmap performance with roaring bitmaps"
    - "compressed bitmap indexes beyond unions and intersections"
    - "reordering rows for better compression beyond the lexicographic order"
    - "sorting improves word aligned bitmap indexes"

Connected through hyperedge HE-7 (induced by source paper "adaptive sampling for rapidly matching histograms"):
  with members:
    - "visualization aware sampling for very large databases"
    - "l p testing and learning of discrete distributions"
    - "rapid sampling for visualizations with ordering guarantees"
    - "optimal algorithms for testing closeness of discrete distributions"
    - "pf ola a high performance framework for parallel on line aggregation"
    - "blinkdb queries with bounded errors and bounded response times on very large data"
    - "mining top k frequent itemsets through progressive sampling"

Connected through hyperedge HE-8 (induced by source paper "asap prioritizing attention via time series smoothing"):
  with members:
    - "efficient hyperparameter optimization and infinitely many armed bandits"
    - "macrobase prioritizing attention in fast data"
    - "hyperband a novel bandit based approach to hyperparameter optimization"
    - "zenvisage effortless visual data exploration"
    - "evaluating real time anomaly detection algorithms the numenta anomaly benchmark"

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.DB(Databases)