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: "hyperedge estimation using polylogarithmic subset queries"
  Abstract: A hypergraph ${\cal H}$ is a \emph{set system} $(U({\cal H}),{\cal F}(H))$, where $U({\cal H})$ denotes the set of $n$ vertices and ${\cal F}(H)$, a set of subsets of $U({\cal H})$, denotes the set of hyperedges. A hypergraph ${\cal H}$ is said to be $d$-uniform if every hyperedge in ${\cal H}$ consists of exactly $d$ vertices. The cardinality of the hyperedge set is denoted as $\ |{{\cal F}({\cal H})}\ |=m({\cal H})$. #R##N#We consider an oracle access to the hypergraph ${\cal H}$ of the following form. Given $d$ (non-empty) pairwise disjoint subsets of vertices $A_1,\ldots,A_d \subseteq U({\cal H})$ of hypergraph ${\cal H}$, the oracle, known as the {\bf Generalized $d$-partite independent set oracle (\gpis)}~(that was introduced in \cite{BishnuGKM018}), answers {\sc Yes} if and only if there exists a hyperedge in ${\cal H}$ having (exactly) one vertex in each $A_i, i \in [d]$. The \gpis{} oracle belongs to the class of oracles for subset queries. The study of subset queries was initiated by Stockmeyer \cite{Stockmeyer85}, and later the model was formalized by Ron and Tsur \cite{RonT16}. Subset queries generalize the set membership queries. #R##N#In this work we give an algorithm for the \hest problem using the \gpis query oracle to obtain an estimate $\widehat{m}$ for $m({\cal H})$ satisfying $(1 - \epsilon) \cdot m({\cal H}) \leq \widehat{m} \leq (1 + \epsilon) \cdot m({\cal H})$. The number of queries made by our algorithm, assuming $d$ as a constant, is polylogarithmic in the number of vertices of the hypergraph. Our work can be seen as a natural generalization of {\sc Edge Estimation} using {\sc Bipartite Independent Set}({\sc BIS}) oracle \cite{BeameHRRS18} and {\sc Triangle Estimation} using {\sc Tripartite Independent Set}({\sc TIS}) oracle \cite{Bhatta-abs-1808-00691}.

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)