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: "astor exploring the design space of generate and validate program repair beyond genprog"
  Abstract: Abstract   This article contributes to defining the design space of program repair. Repair approaches can be loosely characterized according to the main design philosophy, in particular “generate- and-validate” and synthesis-based approaches. Each of those repair approaches is a point in the design space of program repair. Our goal is to facilitate the design, development and evaluation of repair approaches by providing a framework that: a) contains components commonly present in most approaches, b) provides built-in implementations of existing repair approaches. This paper presents a Java framework named Astor that focuses on the design space of generate-and-validate repair approaches. The key novelty of Astor is to provides explicit extension points to explore the design space of program repair. Thanks to those extension points, researchers can both reuse existing program repair components and implement new ones. Astor includes 6 unique implementations of repair approaches in Java, including GenProg for Java called jGenProg. Researchers have already defined new approaches over Astor. The implementations of program repair approaches built already available in Astor are capable of repairing, in total, 98 real bugs from 5 large Java programs. Astor code is publicly available on Github:  https://github.com/SpoonLabs/astor .

Connected through hyperedge HE-1 (induced by source paper "the remarkable role of similarity in redundancy based program repair"):
  with members:
    - "revisiting ssfix for better program repair"
    - "sorting and transforming program repair ingredients via deep learning code similarities"
    - "the codrep machine learning on source code competition"
    - "code2seq generating sequences from structured representations of code"
    - "neural network based graph embedding for cross platform binary code similarity detection"
    - "learning to represent programs with graphs"
    - "precise condition synthesis for program repair"
    - "an analysis of the search spaces for generate and validate patch generation systems"

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.SE(Software Engineering)