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 "entity summarization state of the art and future challenges"):
  Abstract: The increasing availability of semantic data, which is commonly represented as entity-property-value triples, has enabled novel information retrieval applications. However, the magnitude of semantic data, in particular the large number of triples describing an entity, could overload users with excessive amounts of information. This has motivated fruitful research on automated generation of summaries for entity descriptions to satisfy users' information needs efficiently and effectively. We focus on this important topic of entity summarization, and present the first comprehensive survey of existing research. We review existing methods and evaluation efforts, and suggest directions for future work.

Includes members:
  Member "eventkg the hub of event knowledge on the web and biographical timeline generation":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "esbm an entity summarization benchmark")
  Member "neural wikipedian generating textual summaries from knowledge base triples":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "triple to text converting rdf triples into high quality natural languages via optimizing an inverse kl divergence")
  Member "learning to generate one sentence biographies from wikidata":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "variational template machine for data to text generation")
  Member "neural text generation from structured data with application to the biography domain":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "variational template machine for data to text generation")
  Member "graph summarization methods and applications a survey":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "knowledge graphs")
  Member "timemachine timeline generation for knowledge base entities":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "joint event extraction along shortest dependency paths using graph convolutional networks")
  Member "leveraging usage data for linked data movie entity summarization":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "esbm an entity summarization benchmark")
  Member "lexrank graph based lexical centrality as salience in text summarization":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "generating representative headlines for news stories")

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)