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: "potential maximal cliques parameterized by edge clique cover"
  Abstract: We show that the number of minimal separators on graphs with edge clique cover of size $cc$ is $O(2^{cc})$ and the number of potential maximal cliques is $O(3^{cc})$. Furthermore, potential maximal cliques can be listed in $O^*(3^{cc'})$ time when an edge clique cover of size $cc'$ is given. This yields $O^*(3^{cc'})$ time algorithms for all problems in the framework of potential maximal cliques, for example Treewidth, Minimum Fill-In and Maximum Independent Set. The parameter $cc$ is motivated by practice: our results imply that Treewidth can be solved in $O^*(3^m)$ time for primal graphs of CSP instances with $m$ constraints. Furthermore, Generalized Hypertree Width and Fractional Hypertree Width can be solved in $O^*(4^m)$ and $O^*(3^m)$ time. There are many real CSP applications where the number of constraints is much smaller than the number of variables. Other applications of the parameterization include Perfect Phylogeny. The bounds on the number of minimal separators and the number of potential maximal cliques are tight, and $cc$ is orthogonal to the existing parameterizations for potential maximal cliques.

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.DS(Data Structures and Algorithms)