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: "minthint automated synthesis of repair hints"
  Abstract: Being able to automatically repair programs is an extremely challenging task. In this paper, we present MintHint, a novel technique for program repair that is a departure from most of today's approaches. Instead of trying to fully automate program repair, which is often an unachievable goal, MintHint performs statistical correlation analysis to identify expressions that are likely to occur in the repaired code and generates, using pattern-matching based synthesis, repair hints from these expressions. Intuitively, these hints suggest how to rectify a faulty statement and help developers find a complete, actual repair. MintHint can address a variety of common faults, including incorrect, spurious, and missing expressions. #R##N#We present a user study that shows that developers' productivity can improve manyfold with the use of repair hints generated by MintHint -- compared to having only traditional fault localization information. We also apply MintHint to several faults of a widely used Unix utility program to further assess the effectiveness of the approach. Our results show that MintHint performs well even in situations where (1) the repair space searched does not contain the exact repair, and (2) the operational specification obtained from the test cases for repair is incomplete or even imprecise.

Connected through hyperedge HE-1 (induced by source paper "learning to generate corrective patches using neural machine translation"):
  with members:
    - "harnessing evolution for multi hunk program repair"
    - "on learning meaningful code changes via neural machine translation"
    - "sequencer sequence to sequence learning for end to end program repair"
    - "how different are different diff algorithms in git use histogram for code changes"
    - "automatic software repair a bibliography"
    - "tree2tree neural translation model for learning source code changes"
    - "an empirical study on learning bug fixing patches in the wild via neural machine translation"
    - "neural machine translation and sequence to sequence models a tutorial"

Connected through hyperedge HE-2 (induced by source paper "codit code editing with tree based neuralmachine translation"):
  with members:
    - "on learning meaningful code changes via neural machine translation"
    - "sequencer sequence to sequence learning for end to end program repair"
    - "code2vec learning distributed representations of code"
    - "learning to represent edits"
    - "building language models for text with named entities"
    - "tree to tree neural networks for program translation"
    - "opennmt open source toolkit for neural machine translation"
    - "improved neural machine translation with a syntax aware encoder and decoder"

Connected through hyperedge HE-3 (induced by source paper "automatic software repair a bibliography"):
  with members:
    - "automatic repair of real bugs in java a large scale experiment on the defects4j dataset"
    - "principles of antifragile software"
    - "automatic repair of infinite loops"
    - "mining software repair models for reasoning on the search space of automated program fixing"
    - "automatic repair of real bugs an experience report on the defects4j dataset"
    - "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair"
    - "do the fix ingredients already exist an empirical inquiry into the redundancy assumptions of program repair approaches"
    - "automatic repair of buggy if conditions and missing preconditions with smt"

Connected through hyperedge HE-4 (induced by source paper "mining fix patterns for findbugs violations"):
  with members:
    - "fixminer mining relevant fix patterns for automated program repair"
    - "automatic repair of real bugs in java a large scale experiment on the defects4j dataset"
    - "learning quick fixes from code repositories"
    - "automatically generating commit messages from diffs using neural machine translation"
    - "nopol automatic repair of conditional statement bugs in java programs"
    - "a survey of machine learning for big code and naturalness"
    - "cross language learning for program classification using bilateral tree based convolutional neural networks"
    - "learning syntactic program transformations from examples"

Connected through hyperedge HE-5 (induced by source paper "impact of tool support in patch construction"):
  with members:
    - "an analysis of the search spaces for generate and validate patch generation systems"
    - "mining software repair models for reasoning on the search space of automated program fixing"
    - "harvesting fix hints in the history of bugs"
    - "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair"
    - "faults in linux 2 6"

Connected through hyperedge HE-6 (induced by source paper "watch out for this commit a study of influential software changes"):
  with members:
    - "tbar revisiting template based automated program repair"
    - "fixminer mining relevant fix patterns for automated program repair"
    - "nopol automatic repair of conditional statement bugs in java programs"
    - "impact of tool support in patch construction"
    - "learning syntactic program transformations from examples"
    - "an analysis of the search spaces for generate and validate patch generation systems"
    - "harvesting fix hints in the history of bugs"
    - "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair"

Connected through hyperedge HE-7 (induced by source paper "precise condition synthesis for program repair"):
  with members:
    - "automatic software repair a bibliography"
    - "automatic repair of real bugs in java a large scale experiment on the defects4j dataset"
    - "nopol automatic repair of conditional statement bugs in java programs"
    - "an analysis of the search spaces for generate and validate patch generation systems"
    - "automatic repair of real bugs an experience report on the defects4j dataset"
    - "a critical review of automatic patch generation learned from human written patches essay on the problem statement and the evaluation of automatic software repair"
    - "automated fixing of programs with contracts"

Connected through hyperedge HE-8 (induced by source paper "semi supervised verified feedback generation"):
  with members:
    - "learning program embeddings to propagate feedback on student code"
    - "convolutional neural networks over tree structures for programming language processing"
    - "feedback generation for performance problems in introductory programming assignments"
    - "building program vector representations for deep learning"
    - "cost aware automatic program repair"
    - "automated feedback generation for introductory programming assignments"
    - "code based automated program fixing"

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)