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: "the extended edit distance metric"
  Abstract: The problem of similarity search has attracted increasing attention recently, because it has many applications. Time series are high dimensional data objects. In order to utilize an indexing structure that can effectively handle large time series databases, we need to reduce the dimensionality of these data objects. One of the promising techniques of dimensionality reduction is symbolic representation, which allows researchers to avail from the wealth of text-retrieval algorithms and techniques. To improve the effectiveness of similarity search we propose an extension to the well-known edit distance that we call the extended edit distance. This new distance is applied to symbolic sequential data objects. We test the proposed distance on time series data bases in classification task experiments. We also compare it to other distances that are well known in the literature for symbolic data objects, and we also prove, mathematically, that our new distance is metric.

Connected through hyperedge HE-1 (induced by source paper "soft edit distance for differentiable comparison of symbolic sequences"):
  with members:
    - "adam a method for stochastic optimization"
    - "towards normalizing the edit distance using a genetic algorithms based scheme"

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.IR(Information Retrieval)