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 "knowledge graph development for app store data modeling"):
  Abstract: These days usage of mobile applications has become quite a normal part of our lives, since every day we use our smartphones for communication, entertainment, business and even education. A high demand on various apps has led to significant growth of supply. Large number of apps offered, in turn, has led to complications in user's search of the one perfectly suitable application. In this paper the authors have made an attempt to solve the problem of facilitating the search in app stores. With the help of a websites crawling software a sample of data was retrieved from one of the well-known mobile app stores and divided into 11 groups by types. Afterwards these groups of data were used to construct a Knowledge Schema - a graphic model of interconnections of data that characterize any mobile app in the selected store. This Schema creation is the first step in the process of developing a Knowledge Graph that will perform applications grouping to facilitate users search in app stores.

Includes members:
  Member "androvault constructing knowledge graph from millions of android apps for automated analysis":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "large scale analysis of framework specific exceptions in android apps")
  Member "locally adaptive translation for knowledge graph embedding":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "kgvec2go knowledge graph embeddings as a service")

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.IR(Information Retrieval)