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: "reconstructing strings from substrings optimal randomized and average case algorithms"
  Abstract: The problem called "String reconstruction from substrings" is a mathematical model of sequencing by hybridization that plays an important role in DNA sequencing. In this problem, we are given a blackbox oracle holding an unknown string ${\mathcal X}$ and are required to obtain (reconstruct) ${\mathcal X}$ through "substring queries" $Q(S)$. $Q(S)$ is given to the oracle with a string $S$ and the answer of the oracle is Yes if ${\mathcal X}$ includes $S$ as a substring and No otherwise. Our goal is to minimize the number of queries for the reconstruction. In this paper, we deal with only binary strings for ${\mathcal X}$ whose length $n$ is given in advance by using a sequence of good $S$'s. In 1995, Skiena and Sundaram first studied this problem and obtained an algorithm whose query complexity is $n+O(\log n)$. Its information theoretic lower bound is $n$, and they posed an obvious open question; if we can remove the $O(\log n)$ additive term. No progress has been made until now. This paper gives two partially positive answers to this open question. One is a randomized algorithm whose query complexity is $n+O(1)$ with high probability and the other is an average-case algorithm also having a query complexity of $n+O(1)$ on average. The $n$ lower bound is still true for both cases, and hence they are optimal up to an additive constant.

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)