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: "compression via matroids a randomized polynomial kernel for odd cycle transversal"
  Abstract: The Odd Cycle Transversal problem (OCT) asks whether a given graph can be made bipartite by deleting at most $k$ of its vertices. In a breakthrough result Reed, Smith, and Vetta (Operations Research Letters, 2004) gave a $\BigOh(4^kkmn)$ time algorithm for it, the first algorithm with polynomial runtime of uniform degree for every fixed $k$. It is known that this implies a polynomial-time compression algorithm that turns OCT instances into equivalent instances of size at most $\BigOh(4^k)$, a so-called kernelization. Since then the existence of a polynomial kernel for OCT, i.e., a kernelization with size bounded polynomially in $k$, has turned into one of the main open questions in the study of kernelization. #R##N#This work provides the first (randomized) polynomial kernelization for OCT. We introduce a novel kernelization approach based on matroid theory, where we encode all relevant information about a problem instance into a matroid with a representation of size polynomial in $k$. For OCT, the matroid is built to allow us to simulate the computation of the iterative compression step of the algorithm of Reed, Smith, and Vetta, applied (for only one round) to an approximate odd cycle transversal which it is aiming to shrink to size $k$. The process is randomized with one-sided error exponentially small in $k$, where the result can contain false positives but no false negatives, and the size guarantee is cubic in the size of the approximate solution. Combined with an $\BigOh(\sqrt{\log n})$-approximation (Agarwal et al., STOC 2005), we get a reduction of the instance to size $\BigOh(k^{4.5})$, implying a randomized polynomial kernelization.

Connected through hyperedge HE-1 (induced by source paper "parameterized algorithms and data reduction for the short secluded s t path problem"):
  with members:
    - "on the computational complexity of length and neighborhood constrained path problems"
    - "the parameterized complexity of finding secluded solutions to some classical optimization problems on graphs"
    - "a parameterized approximation algorithm for the mixed and windy capacitated arc routing problem theory and experiments"
    - "finding connected secluded subgraphs"
    - "polynomial kernels for weighted problems"
    - "parameterized complexity of secluded connectivity problems"
    - "route planning in transportation networks"
    - "parameterized complexity of the k arc chinese postman problem"

Connected through hyperedge HE-2 (induced by source paper "on quasipolynomial multicut mimicking networks and kernelization of multiway cut problems"):
  with members:
    - "randomized contractions meet lean decompositions"
    - "lp branching algorithms based on biased graphs"
    - "vertex sparsifiers new results from old techniques"
    - "deterministic truncation of linear matroids"
    - "on vertex sparsifiers with steiner nodes"
    - "mimicking networks and succinct representations of terminal cuts"
    - "representative sets and irrelevant vertices new tools for kernelization"

Connected through hyperedge HE-3 (induced by source paper "a turing kernelization dichotomy for structural parameterizations of mathcal f minor free deletion"):
  with members:
    - "polynomial kernels for hitting forbidden minors under structural parameterizations"
    - "turing kernelization for finding long paths and cycles in restricted graph classes"
    - "linear time kernelization for feedback vertex set"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "data reduction for graph coloring problems"
    - "vertex cover kernelization revisited upper and lower bounds for a refined parameter"

Connected through hyperedge HE-4 (induced by source paper "proximity search for maximal subgraph enumeration"):
  with members:
    - "efficient enumeration of bipartite subgraphs in graphs"
    - "output polynomial enumeration on graphs of bounded local linear mim width"
    - "on the enumeration of minimal dominating sets and related notions"

Connected through hyperedge HE-5 (induced by source paper "multi budgeted directed cuts"):
  with members:
    - "parameterized complexity and approximability of directed odd cycle transversal"
    - "linear time kernelization for feedback vertex set"
    - "a linear time parameterized algorithm for directed feedback vertex set"
    - "directed multicut is w 1 hard even for four terminal pairs"
    - "half integrality lp branching and fpt algorithms"
    - "list h coloring a graph by removing few vertices"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "directed subset feedback vertex set is fixed parameter tractable"

Connected through hyperedge HE-6 (induced by source paper "randomized contractions meet lean decompositions"):
  with members:
    - "reducing cmso model checking to highly connected graphs"
    - "clustering with local restrictions"
    - "definability equals recognizability for graphs of bounded treewidth"
    - "linear time kernelization for feedback vertex set"
    - "parameterized complexity dichotomy for steiner multicut"
    - "half integrality lp branching and fpt algorithms"
    - "minimum bisection is fixed parameter tractable"
    - "designing fpt algorithms for cut problems using randomized contractions"

Connected through hyperedge HE-7 (induced by source paper "a deterministic polynomial kernel for odd cycle transversal and vertex multiway cut in planar graphs"):
  with members:
    - "bidimensionality and kernels"
    - "uniform kernelization complexity of hitting forbidden minors"
    - "representative sets and irrelevant vertices new tools for kernelization"
    - "large isolating cuts shrink the multiway cut"
    - "on multiway cut parameterized above lower bounds"
    - "obtaining a planar graph by vertex deletion"

Connected through hyperedge HE-8 (induced by source paper "evaluating graph bipartization methods for applications in quantum computing"):
  with members:
    - "0 1 all csps half integral a path packing and linear time fpt algorithms"
    - "a study of complex deep learning networks on high performance neuromorphic and quantum computers"
    - "lp branching algorithms based on biased graphs"
    - "linear time fpt algorithms via network flow"
    - "faster parameterized algorithms using linear programming"

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)