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: "derandomization from algebraic hardness treading the borders"
  Abstract: A hitting-set generator (HSG) is a polynomial map $Gen:\mathbb{F}^k \to \mathbb{F}^n$ such that for all $n$-variate polynomials $Q$ of small enough circuit size and degree, if $Q$ is non-zero, then $Q\circ Gen$ is non-zero. In this paper, we give a new construction of such a HSG assuming that we have an explicit polynomial of sufficient hardness in the sense of approximative or border complexity. Formally, we prove the following result over any characteristic zero field $\mathbb{F}$: #R##N#Suppose $P(z_1,\ldots, z_k)$ is an explicit $k$-variate degree $d$ polynomial that is not in the border of circuits of size $s$. Then, there is an explicit hitting-set generator $Gen_P:\mathbb{F}^{2k} \rightarrow \mathbb{F}^n$ such that every non-zero $n$-variate degree $D$ polynomial $Q(x_1, x_2, \ldots, x_n)$ in the border of size $s'$ circuits satisfies $Q \neq 0 \Rightarrow Q \circ \mathsf{Gen}_P \neq 0$, provided $n^{10k}d^2 D s'< s$. #R##N#This is the first HSG in the algebraic setting that yields a complete derandomization of polynomial identity testing (PIT) for general circuits from a suitable algebraic hardness assumption. #R##N#As a direct consequence, we prove the following bootstrapping result for PIT: #R##N#Let $\delta > 0$ be any constant and $k$ be a large enough constant. Suppose, for every $s \geq k$, there is an explicit hitting set of size $s^{k-\delta}$ for all degree $s$ polynomials in the border of $k$-variate size $s$ algebraic circuits. Then, there is an explicit hitting set of size $poly(s)$ for the border $s$-variate algebraic circuits of size $s$ and degree $s$. #R##N#Unlike the prior constructions of such maps [NW94, KI04, AGS18, KST19], our construction is purely algebraic and does not rely on the notion of combinatorial designs.

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)