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: "good distance lattices from high dimensional expanders"
  Abstract: We show a new framework for constructing good distance lattices from high dimensional expanders. For error-correcting codes, which have a similar flavor as lattices, there is a known framework that yields good codes from expanders. However, prior to our work, there has been no framework that yields good distance lattices directly from expanders. Interestingly, we need the notion of high dimensional expansion (and not only one dimensional expansion) for obtaining large distance lattices which are dense. #R##N#Our construction is obtained by proving the existence of bounded degree high dimensional cosystolic expanders over any ring, and in particular over $\mathbb{Z}$. Previous bounded degree cosystolic expanders were known only over $\mathbb{F}_2$. The proof of the cosystolic expansion over any ring is composed of two main steps, each of an independent interest: We show that coboundary expansion over any ring of the links of a bounded degree complex implies that the complex is a cosystolic expander over any ring. We then prove that all the links of Ramanujan complexes (which are called spherical buildings) are coboundary expanders over any ring. #R##N#We follow the strategy of [LMM16] for proving that the spherical building is a coboundary expander over any ring. Besides of generalizing their proof from $\mathbb{F}_2$ to any ring, we present it in a detailed way, which might serve readers with less background who wish to get into the field.

Connected through hyperedge HE-1 (induced by source paper "list decoding random euclidean codes and infinite constellations"):
  with members:
    - "improved list decodability of random linear binary codes"
    - "quadratically constrained myopic adversarial channels"
    - "on the weight distribution of random binary linear codes"
    - "list decoding with double samplers"
    - "sufficiently myopic adversaries are blind"
    - "it ll probably work out improved list decoding through random operations"
    - "every list decodable code for high noise has abundant near optimal rate puncturings"
    - "on the list decodability of random linear codes with large error rates"

Connected through hyperedge HE-2 (induced by source paper "approximating constraint satisfaction problems on high dimensional expanders"):
  with members:
    - "agreement testing theorems on layered set systems"
    - "log concave polynomials ii high dimensional walks and an fpras for counting bases of a matroid"
    - "sum of squares lower bounds for refuting any csp"
    - "high dimensional random walks and colorful expansion"
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "a new regularity lemma and faster approximation algorithms for low threshold rank graphs"
    - "faster sdp hierarchy solvers for local rounding algorithms"
    - "rounding semidefinite programming hierarchies via global correlation"

Connected through hyperedge HE-3 (induced by source paper "boolean functions on high dimensional expanders"):
  with members:
    - "small set expansion in shortcode graph and the 2 to 2 conjecture"
    - "low degree almost boolean functions are sparse juntas"
    - "making the long code shorter with applications to the unique games conjecture"

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)