human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "path and ancestor queries on trees with multidimensional weight vectors"):
  Abstract: We consider an ordinal tree $T$ on $n$ nodes, with each node assigned a #R##N#$d$-dimensional weight vector $\pnt{w} \in \{1,2,\ldots,n\}^d,$ where $d \in \mathbb{N}$ is a constant. #R##N#We study path queries as generalizations of well-known {\textit{orthogonal range queries}}, with one of the dimensions being tree topology rather than a linear order. Since in our definitions $d$ only represents the number of dimensions of the weight vector without taking the tree topology into account, a path query in a tree with $d$-dimensional weight vectors generalize the corresponding $(d+1)$-dimensional orthogonal range query. #R##N#We solve {\textit{ancestor dominance reporting}} problem as a direct generalization of dominance reporting problem, %in time $O((\lg^{d-1} n)/(\lg\lg n)^{d-2}+k)$ in time $O(\lg^{d-1}{n}+k)$ %and space of $O(n(\lg n)^{d-1}/(\lg \lg n)^{d-2})$ words, and space of $O(n\lg^{d-2}n)$ words, where $k$ is the size of the output, for $d \geq 2.$ #R##N#We also achieve a tradeoff of $O(n\lg^{d-2+\eps}{n})$ words of space, with query time of $O((\lg^{d-1} n)/(\lg\lg n)^{d-2}+k),$ for the same problem, when $d \geq 3.$ #R##N#We solve {\textit{path successor problem}} in $O(n\lg^{d-1}{n})$ words of space and time $O(\lg^{d-1+\eps}{n})$ for $d \geq 1$ and an arbitrary constant $\eps > 0.$ We propose a solution to {\textit{path counting problem}}, with $O(n(\lg{n}/\lg\lg{n})^{d-1})$ words of space and $O((\lg{n}/\lg\lg{n})^{d})$ query time, for $d \geq 1.$ #R##N#Finally, we solve {\textit{path reporting problem}} in $O(n\lg^{d-1+\eps}{n})$ words of space and $O((\lg^{d-1}{n})/(\lg\lg{n})^{d-2}+k)$ query time, for $d \geq 2.$ #R##N#These results match or nearly match the best tradeoffs of the respective range queries. We are also the first to solve path successor even for $d = 1$.

Includes members:
  Member "sorted range reporting":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "four dimensional dominance range reporting in linear space")
  Member "more haste less waste lowering the redundancy in fully indexable dictionaries":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "four dimensional dominance range reporting in linear space")
  Member "range mode and range median queries on lists and trees":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "path query data structures in practice")

Question: Please tell me which class the source paper 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)