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: "polynomial tensor sketch for element wise function of low rank matrix"
  Abstract: This paper studies how to sketch element-wise functions of low-rank matrices. Formally, given low-rank matrix A = [Aij ] and scalar non-linear function f, we aim for finding an approximated low-rank representation of (high-rank) matrix [f(A_{ij})]. To this end, we propose an efficient sketch algorithm whose complexity is significantly lower than the number of entries of A, i.e., it runs without accessing all entries of [f(A_{ij})] explicitly. Our main idea is to combine a polynomial approximation on f with the existing tensor sketch scheme approximating monomials of entries of A. To balance errors of the two approximation components in an optimal manner, we address a novel regression formula to find polynomial coefficients given A and f. We demonstrate the applicability and superiority of the proposed scheme under the tasks of kernel SVM classification and optimal transport.

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.LG(Machine Learning)