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: "properties of delta modular simplicies and close polyhedrons o delta cdot polylog delta algorithm for knapsack proximity and sparsity"
  Abstract: In this work we consider properties of square and "close"-square $\Delta$-modular systems of linear inequalities $A x \leq b$. More precisely, we study some class $\mathscr{P}$ of "local" polyhedrons defined by $\Delta$-modular systems of the type $A x \leq b$ that includes simplicies, simple cones, parallelotopes (affine images of cubes) and some more general polyhedrons. We show that for $P \in \mathscr{P}$ the Integer Linear Programming (the ILP) problem $\max\{c^\top x \colon x \in P \cap \mathbb{Z}^n\}$ can be solved by an algorithm with the complexity $$O(\Delta \cdot \log \Delta \cdot M + poly(n,s)),$$ where $M = (m-n) \cdot mult(\log \Delta) + mult(\log \|c\|_\infty)$, $s$ is input size and $mult(t)$ is the complexity of $t$-bit integers multiplication. Additionally, we give estimates on proximity and sparsity of a solution, and show that for fixed $A$, with high probability, the system $A x \leq b$ defines polyhedron from $\mathscr{P}$. #R##N#Another ingredient is a lemma that states equality of rank minors of matricies with orthogonal columns. This lemma gives us an opportunity to transform the systems of the type $A x = b,\, x \geq 0$ to systems of the type $A x \leq b$ and vise verse, such that structure of sub-determinants states the same. By this way, using the mentioned results about properties of the family $\mathscr{P}$, we give an algorithm for the unbounded knapsack problem with the complexity $$O(\Delta \cdot \log \Delta \cdot M + poly(n,s)),$$ where $\Delta = \|a\|_\infty$, $M = mult(\log \Delta) + mult(\log \|c\|_\infty)$. Additionally, we give estimates on the proximity and sparsity of a solution. #R##N#Finally, using close technics, we show that the number of unimodular equivalence classes of $\Delta$-modular integrally-empty simplicies is bounded by the function $O(\Delta^{3+\log \Delta} \cdot (2n)^\Delta)$. And give an efficient algorithm to enumerate them.

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)