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: "synonym search in wikipedia synarcher"
  Abstract: The program Synarcher for synonym (and related terms) search in the text corpus of special structure (Wikipedia) was developed. The results of the search are presented in the form of graph. It is possible to explore the graph and search for graph elements interactively. Adapted HITS algorithm for synonym search, program architecture, and program work evaluation with test examples are presented in the paper. The proposed algorithm can be applied to a query expansion by synonyms (in a search engine) and a synonym dictionary forming.

Connected through hyperedge HE-1 (induced by source paper "transformation of wiktionary entry structure into tables and relations in a relational database schema"):
  with members:
    - "the comparison of wiktionary thesauri transformed into the machine readable format"
    - "related terms search based on wordnet wiktionary and its application in ontology matching"
    - "index wiki database design and experiments"

Connected through hyperedge HE-2 (induced by source paper "the comparison of wiktionary thesauri transformed into the machine readable format"):
  with members:
    - "related terms search based on wordnet wiktionary and its application in ontology matching"
    - "index wiki database design and experiments"

Connected through hyperedge HE-3 (induced by source paper "related terms search based on wordnet wiktionary and its application in ontology matching"):
  with members:
    - "roget s thesaurus and semantic similarity"
    - "index wiki database design and experiments"
    - "evaluation experiments on related terms search in wikipedia information content and adapted hits in russian"
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

Connected through hyperedge HE-4 (induced by source paper "mining meaning from wikipedia"):
  with members:
    - "use of wikipedia categories in entity ranking"
    - "entity ranking in wikipedia"
    - "the google similarity distance"
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

Connected through hyperedge HE-5 (induced by source paper "index wiki database design and experiments"):
  with members:
    - "computational approaches to measuring the similarity of short contexts a review of applications and methods"
    - "information filtering based on wiki index database"
    - "the anatomy of mitos web search engine"
    - "how to make the top ten approximating pagerank from in degree"

Connected through hyperedge HE-6 (induced by source paper "information filtering based on wiki index database"):
  with members:
    - "evaluation experiments on related terms search in wikipedia information content and adapted hits in russian"
    - "semantic similarity in a taxonomy an information based measure and its application to problems of ambiguity in natural language"

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.IR(Information Retrieval)