human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "edit based grading of sql queries"):
  Abstract: Grading student SQL queries manually is a tedious and error-prone process. Earlier work on testing correctness of student SQL queries, such as the XData system, can be used to test correctness of a student query. However, in case a student query is found to be incorrect there is currently no way to automatically assign partial marks. Partial marking is important so that small errors are penalized less than large errors. Manually awarding partial marks is not scalable for classes with large number of students, especially MOOCs, and is also prone to human errors. #R##N#In this paper, we discuss techniques to find a minimum cost set of edits to a student query that would make it correct, which can help assign partial marks, and to help students understand exactly where they went wrong. Given the limitations of current formal methods for checking equivalence, our approach is based on finding nearest query, from a set of instructor provided correct queries, that is found to be equivalent based on query canonicalization. We show that exhaustive techniques are expensive, and propose a greedy heuristic approach that works well both in terms of runtime and accuracy on queries in real-world datasets. Our system can also be used in a learning mode where query edits can be suggested as feedback to students to guide them towards a correct query. Our partial marking system has been successfully used in courses at IIT Bombay and IIT Dharwad.

Includes members:
  Member "explaining wrong queries using small examples":
    also connected through other hyperedges:
      (none)
  Member "automated clustering and program repair for introductory programming assignments":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "deep learning for bug localization in student programs")
  Member "data generation for testing and grading sql queries":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "explaining wrong queries using small examples")
  Member "automated feedback generation for introductory programming assignments":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "grand challenges of resilience autonomous system resilience through design and runtime measures")
  Member "efficient and extensible algorithms for multi query optimization":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "towards scalable dataframe systems")

Question: Please tell me which class the source paper 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.DB(Databases)