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: "hardness of vertex deletion and project scheduling"
  Abstract: Assuming the Unique Games Conjecture, we show strong inapproximability results for two natural vertex deletion problems on directed graphs: for any integer $k\geq 2$ and arbitrary small $\epsilon > 0$, the Feedback Vertex Set problem and the DAG Vertex Deletion problem are inapproximable within a factor $k-\epsilon$ even on graphs where the vertices can be almost partitioned into $k$ solutions. This gives a more structured and therefore stronger UGC-based hardness result for the Feedback Vertex Set problem that is also simpler (albeit using the "It Ain't Over Till It's Over" theorem) than the previous hardness result. #R##N#In comparison to the classical Feedback Vertex Set problem, the DAG Vertex Deletion problem has received little attention and, although we think it is a natural and interesting problem, the main motivation for our inapproximability result stems from its relationship with the classical Discrete Time-Cost Tradeoff Problem. More specifically, our results imply that the deadline version is NP-hard to approximate within any constant assuming the Unique Games Conjecture. This explains the difficulty in obtaining good approximation algorithms for that problem and further motivates previous alternative approaches such as bicriteria approximations.

Connected through hyperedge HE-1 (induced by source paper "parameterized algorithms for generalizations of directed feedback vertex set"):
  with members:
    - "linear kernels for separating a graph into components of bounded size"
    - "a 2 ell k kernel for ell component order connectivity"
    - "dag width and circumference of digraphs"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "fixed parameter tractability of directed multiway cut parameterized by the size of the cutset"

Connected through hyperedge HE-2 (induced by source paper "target set selection for conservative populations"):
  with members:
    - "graph and string parameters connections between pathwidth cutwidth and the locality number"
    - "irreversible 2 conversion set in graphs of bounded degree"
    - "whom to befriend to influence people"
    - "parameterized inapproximability of target set selection and generalizations"

Connected through hyperedge HE-3 (induced by source paper "a 2 approximation algorithm for feedback vertex set in tournaments"):
  with members:
    - "faster exact and parameterized algorithm for feedback vertex set in tournaments"
    - "feedback vertex sets in tournaments"

Connected through hyperedge HE-4 (induced by source paper "inapproximability of maximum biclique problems minimum k cut and densest at least k subgraph from the small set expansion hypothesis"):
  with members:
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "analysis of boolean functions"
    - "analytical approach to parallel repetition"
    - "reductions between expansion problems"
    - "the dense k subgraph problem"
    - "tight approximation ratio of a general greedy splitting algorithm for the minimum k way cut problem"
    - "finding large and small dense subgraphs"

Connected through hyperedge HE-5 (induced by source paper "improved hardness for cut interdiction and firefighter problems"):
  with members:
    - "new integrality gap results for the firefighters problem on trees"
    - "firefighting on trees beyond integrality gaps"
    - "fractals for kernelization lower bounds"
    - "local distribution and the symmetry gap approximability of multiway partitioning problems"
    - "interdiction problems on planar graphs"

Connected through hyperedge HE-6 (induced by source paper "inapproximability of h transversal packing"):
  with members:
    - "pre reduction graph products hardnesses of properly learning dfas and approximating edp on dags"
    - "characterizing the easy to find subgraphs from the viewpoint of polynomial time algorithms kernels and turing kernels"
    - "improved approximation for 3 dimensional matching via bounded pathwidth local search"
    - "packing interval graphs with vertex disjoint triangles"
    - "directed subset feedback vertex set is fixed parameter tractable"
    - "subset feedback vertex set is fixed parameter tractable"
    - "a new multilayered pcp and the hardness of hypergraph vertex cover"

Connected through hyperedge HE-7 (induced by source paper "on the approximability of digraph ordering"):
  with members:
    - "hardness of graph pricing through generalized max dicut"

Connected through hyperedge HE-8 (induced by source paper "hardness of graph pricing through generalized max dicut"):
  with members:
    - "sparsest cut on bounded treewidth graphs algorithms and hardness results"
    - "independent set induced matching and pricing connections and tight subexponential time approximation hardnesses"
    - "graph pricing problem on bounded treewidth bounded genus and k partite graphs"

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.CC(Computational Complexity)