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: "dynamic approximate matchings with an optimal recourse bound"
  Abstract: In the area of dynamic matching algorithms, the number of changes to the matching per update step, or the {recourse bound}, is an important measure of quality. Nevertheless, the worst-case recourse bounds of almost all known dynamic approximate matching algorithms are prohibitively large, significantly larger than the corresponding update times. #R##N#In this paper we fill in this gap via a surprisingly simple observation: Any dynamic algorithm for maintaining a $\beta$-approximate maximum matching with update time $T$, for any $\beta \ge 1$, $T$ and $\epsilon > 0$, can be transformed into an algorithm for maintaining a $(\beta(1 +\epsilon))$-approximate maximum matching with update time $T + O(1/\epsilon)$ and recourse bound $O(1/\epsilon)$. If the original update time $T$ is amortized/worst-case, so is the resulting update time $T + O(1/\epsilon)$, while the recourse bound $O(1/\epsilon)$ holds in the worst-case. This transformation applies to the fully dynamic setting under edge updates and vertex updates. #R##N#We complement this positive result by showing that, for $\beta = 1+\epsilon$, the worst-case recourse bound provided by our transformation is optimal: For any $\epsilon = \Omega(1/n)$, maintaining a $(1+\epsilon)$-approximate maximum matching in an $n$-vertex graph requires $\Omega(1/\epsilon)$ changes to the matching per step, even in the amortized sense and even in the incremental and decremental settings. #R##N#As a corollary, several key dynamic approximate matching algorithms, with low update time bounds but poor recourse bounds, are strengthened to achieve near-optimal recourse bounds with no loss in the update time. Furthermore, although a direct application of this transformation may only hurt the update time, we demonstrate the usefulness of this transformation in achieving low update time bounds in some natural settings (where we might not care about recourse bounds).

Connected through hyperedge HE-1 (induced by source paper "fully dynamic almost maximal matching breaking the polynomial barrier for worst case time bounds"):
  with members:
    - "the shortest augmenting paths for online matchings on trees"
    - "fully dynamic maximal matching in constant update time"
    - "new deterministic approximation algorithms for fully dynamic matching"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "fault tolerant bfs structures a reinforcement backup tradeoff"
    - "fully dynamic matching in bipartite graphs"
    - "deterministic fully dynamic data structures for vertex cover and matching"
    - "orienting fully dynamic graphs with worst case time bounds"

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)