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: "approximation algorithms for submodular multiway partition"
  Abstract: We study algorithms for the Submodular Multiway Partition problem (SubMP). An instance of SubMP consists of a finite ground set $V$, a subset of $k$ elements $S = \{s_1,s_2,...,s_k\}$ called terminals, and a non-negative submodular set function $f:2^V\rightarrow \mathbb{R}_+$ on $V$ provided as a value oracle. The goal is to partition $V$ into $k$ sets $A_1,...,A_k$ such that for $1 \le i \le k$, $s_i \in A_i$ and $\sum_{i=1}^k f(A_i)$ is minimized. SubMP generalizes some well-known problems such as the Multiway Cut problem in graphs and hypergraphs, and the Node-weighed Multiway Cut problem in graphs. SubMP for arbitrarysubmodular functions (instead of just symmetric functions) was considered by Zhao, Nagamochi and Ibaraki \cite{ZhaoNI05}. Previous algorithms were based on greedy splitting and divide and conquer strategies. In very recent work \cite{ChekuriE11} we proposed a convex-programming relaxation for SubMP based on the Lov\'asz-extension of a submodular function and showed its applicability for some special cases. In this paper we obtain the following results for arbitrary submodular functions via this relaxation. (i) A 2-approximation for SubMP. This improves the $(k-1)$-approximation from \cite{ZhaoNI05} and (ii) A $(1.5-1/k)$-approximation for SubMP when $f$ is symmetric. This improves the $2(1-1/k)$-approximation from \cite{Queyranne99,ZhaoNI05}.

Connected through hyperedge HE-1 (induced by source paper "improved approximation algorithms for inventory problems"):
  with members:
    - "approximation algorithms for inventory problems with submodular or routing costs"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "submodular cost allocation problem and applications"

Connected through hyperedge HE-2 (induced by source paper "submodular optimization under noise"):
  with members:
    - "when are welfare guarantees robust"
    - "noisy submodular maximization via adaptive sampling with applications to crowdsourced image collection summarization"
    - "tight bounds on low degree spectral concentration of submodular and xos functions"
    - "budget feasible mechanisms for experimental design"
    - "optimal bounds on approximation of submodular and xos functions by juntas"
    - "representation approximation and learning of submodular functions using low rank decision trees"
    - "learning coverage functions and private release of marginals"
    - "the computational complexity of truthfulness in combinatorial auctions"

Connected through hyperedge HE-3 (induced by source paper "mixed robust average submodular partitioning fast algorithms guarantees and applications"):
  with members:
    - "a deterministic algorithm for maximizing submodular functions"
    - "graph partitioning via parallel submodular approximation to accelerate distributed machine learning"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "parallel training of dnns with natural gradient and parameter averaging"
    - "submodular optimization with submodular cover and submodular knapsack constraints"
    - "fast semidifferential based submodular function optimization"
    - "algorithms for approximate minimization of the difference between submodular functions with applications"
    - "submodular cost allocation problem and applications"

Connected through hyperedge HE-4 (induced by source paper "simple and fast rounding algorithms for directed and node weighted multiway cut"):
  with members:
    - "computing the k nearest neighbors for all vertices via dijkstra"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "multiway cut pairwise realizable distributions and descending thresholds"
    - "multicommodity flows and cuts in polymatroidal networks"
    - "submodular cost allocation problem and applications"
    - "faster approximation schemes for fractional multicommodity flow problems via dynamic graph algorithms"
    - "rounding algorithms for a geometric embedding of minimum multiway cut"
    - "randomized rounding without solving the linear program"

Connected through hyperedge HE-5 (induced by source paper "local distribution and the symmetry gap approximability of multiway partitioning problems"):
  with members:
    - "multiway cut pairwise realizable distributions and descending thresholds"
    - "the power of linear programming for valued csps"
    - "symmetry and approximability of submodular maximization problems"
    - "submodular cost allocation problem and applications"
    - "rounding algorithms for a geometric embedding of minimum multiway cut"

Connected through hyperedge HE-6 (induced by source paper "maximizing symmetric submodular functions"):
  with members:
    - "constrained submodular maximization via a non symmetric technique"
    - "constrained submodular maximization beyond 1 e"
    - "improved approximation algorithms for k submodular function maximization"
    - "deterministic algorithms for submodular maximization problems"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "on the approximation of submodular functions"
    - "symmetry and approximability of submodular maximization problems"
    - "submodular function maximization via the multilinear relaxation and contention resolution schemes"

Connected through hyperedge HE-7 (induced by source paper "an o 1 84 k parameterized algorithm for the multiterminal cut problem"):
  with members:
    - "on the usefulness of predicates"
    - "minimum k way cut of bounded size is fixed parameter tractable"
    - "on multiway cut parameterized above lower bounds"
    - "multicut is fpt"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"

Connected through hyperedge HE-8 (induced by source paper "online algorithms for basestation allocation"):
  with members:
    - "load balancing via random local search in closed and open systems"
    - "algorithms for secretary problems on graphs and hypergraphs"

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)