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: "partial resampling to approximate covering integer programs"
  Abstract: We consider column-sparse positive covering integer programs, which generalize set cover and which have attracted a long line of research developing (randomized) approximation algorithms. We develop a new rounding scheme based on the Partial Resampling variant of the Lov\'{a}sz Local Lemma developed by Harris \& Srinivasan (2013). This achieves an approximation ratio of $1 + \frac{\ln (\Delta_1+1)}{a_{\text{min}}} + O(\sqrt{ \frac{\log (\Delta_1+1)}{a_{\text{min}}}} )$, where $a_{\text{min}}$ is the minimum covering constraint and $\Delta_1$ is the maximum $\ell_1$-norm of any column of the covering matrix (whose entries are scaled to lie in $[0,1]$). When there are additional constraints on the sizes of the variables, we show an approximation ratio of $1 + O(\frac{\ln (\Delta_1+1)}{a_{\text{min}} \epsilon} + \sqrt{ \frac{\log (\Delta_1+1)}{a_{\text{min}}}})$ to satisfy these size constraints up to multiplicative factor $1 + \epsilon$, or an approximation of ratio of $\ln \Delta_0 + O(\sqrt{\log \Delta_0})$ to satisfy the size constraints exactly (where $\Delta_0$ is the maximum number of non-zero entries in any column of the covering matrix). We also show nearly-matching inapproximability and integrality-gap lower bounds. These results improve asymptotically, in several different ways, over results shown by Srinivasan (2006) and Kolliopoulos \& Young (2005). #R##N#We show also that our algorithm automatically handles multi-criteria programs, efficiently achieving approximation ratios which are essentially equivalent to the single-criterion case and which apply even when the number of criteria is large.

Connected through hyperedge HE-1 (induced by source paper "on approximating partial set cover and generalizations"):
  with members:
    - "on approximating sparse covering integer programs"
    - "on the partition set cover problem"
    - "on partial covering for geometric set systems"
    - "a note on concentration of submodular functions"
    - "approximation algorithms for covering packing integer programs"

Connected through hyperedge HE-2 (induced by source paper "ell_1 sparsity approximation bounds for packing integer programs"):
  with members:
    - "on approximating sparse covering integer programs"
    - "submodular function maximization via the multilinear relaxation and contention resolution schemes"
    - "approximability of sparse integer programs"

Connected through hyperedge HE-3 (induced by source paper "on approximating sparse covering integer programs"):
  with members:
    - "approximating the held karp bound for metric tsp in nearly linear time"
    - "a nearly linear time ptas for explicit fractional packing and covering linear programs"
    - "approximating sparse covering integer programs online"
    - "submodular function maximization via the multilinear relaxation and contention resolution schemes"
    - "approximation algorithms for covering packing integer programs"

Connected through hyperedge HE-4 (induced by source paper "commutative algorithms approximate the lll distribution"):
  with members:
    - "a new perspective on stochastic local search and the lovasz local lemma"
    - "sublogarithmic distributed algorithms for lov asz local lemma and the complexity hierarchy"
    - "lopsidependency in the moser tardos framework beyond the lopsided lovasz local lemma"
    - "inapproximability of the independent set polynomial below the shearer threshold"
    - "computing the independence polynomial in shearer s region for the lll"
    - "algorithmic and enumerative aspects of the moser tardos distribution"
    - "commutativity in the algorithmic lovasz local lemma"
    - "parallel algorithms and concentration bounds for the lovasz local lemma via witness dags"

Connected through hyperedge HE-5 (induced by source paper "the algorithmic lll and the witness tree lemma"):
  with members:
    - "lopsidependency in the moser tardos framework beyond the lopsided lovasz local lemma"
    - "inapproximability of the independent set polynomial below the shearer threshold"
    - "computing the independence polynomial in shearer s region for the lll"
    - "algorithmic and enumerative aspects of the moser tardos distribution"
    - "parallel algorithms and concentration bounds for the lovasz local lemma via witness dags"
    - "an algorithmic proof of the lovasz local lemma via resampling oracles"

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)