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: "provenance centered dataset of drug drug interactions"
  Abstract: Over the years several studies have demonstrated the ability to identify potential drug-drug interactions via data mining from the literature (MEDLINE), electronic health records, public databases (Drugbank), etc. While each one of these approaches is properly statistically validated, they do not take into consideration the overlap between them as one of their decision making variables. In this paper we present LInked Drug-Drug Interactions (LIDDI), a public nanopublication-based RDF dataset with trusty URIs that encompasses some of the most cited prediction methods and sources to provide researchers a resource for leveraging the work of others into their prediction methods. As one of the main issues to overcome the usage of external resources is their mappings between drug names and identifiers used, we also provide the set of mappings we curated to be able to compare the multiple sources we aggregate in our dataset.

Connected through hyperedge HE-1 (induced by source paper "nanopublications a growing resource of provenance centric scientific linked data"):
  with members:
    - "reliable granular references to changing linked data"
    - "nanopub java a java library for nanopublications"
    - "making digital artifacts on the web verifiable and reliable"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "publishing without publishers a decentralized approach to dissemination retrieval and archiving of data"
    - "micropublications a semantic model for claims evidence arguments and annotations in biomedical communications"
    - "broadening the scope of nanopublications"

Connected through hyperedge HE-2 (induced by source paper "reliable granular references to changing linked data"):
  with members:
    - "nanopub java a java library for nanopublications"
    - "making digital artifacts on the web verifiable and reliable"
    - "trusty uris verifiable immutable and permanent digital artifacts for linked data"
    - "publishing without publishers a decentralized approach to dissemination retrieval and archiving of data"
    - "broadening the scope of nanopublications"
    - "an http based versioning mechanism for linked data"

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.CY(Computers and Society)