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: "history by diversity helping historians search news archives"
  Abstract: Longitudinal corpora like newspaper archives are of immense value to historical research, and time as an important factor for historians strongly influences their search behaviour in these archives. While searching for articles published over time, a key preference is to retrieve documents which cover the important aspects from important points in time which is different from standard search behavior. To support this search strategy, we introduce the notion of a Historical Query Intent to explicitly model a historian's search task and define an aspect-time diversification problem over news archives.   We present a novel algorithm, HistDiv, that explicitly models the aspects and important time windows based on a historian's information seeking behavior. By incorporating temporal priors based on publication times and temporal expressions, we diversify both on the aspect and temporal dimensions. We test our methods by constructing a test collection based on The New York Times Collection with a workload of 30 queries of historical intent assessed manually. We find that HistDiv outperforms all competitors in subtopic recall with a slight loss in precision. We also present results of a qualitative user study to determine wether this drop in precision is detrimental to user experience. Our results show that users still preferred HistDiv's ranking.

Connected through hyperedge HE-1 (induced by source paper "eventkg the hub of event knowledge on the web and biographical timeline generation"):
  with members:
    - "towards better understanding researcher strategies in cross lingual event analytics"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "ongoing events in wikipedia a cross lingual case study"
    - "learning to generate one sentence biographies from wikidata"
    - "neural text generation from structured data with application to the biography domain"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-2 (induced by source paper "building and querying semantic layers for web archives extended version"):
  with members:
    - "towards a ranking model for semantic layers over digital archives"
    - "extracting event centric document collections from large scale web archives"
    - "tempas temporal archive search based on tags"
    - "can we find documents in web archives without knowing their contents"
    - "how to search the internet archive without indexing it"
    - "expedition a time aware exploratory search system designed for scholars"
    - "archivespark efficient web archive access extraction and derivation"
    - "routing memento requests using binary classifiers"

Connected through hyperedge HE-3 (induced by source paper "ranking archived documents for structured queries on semantic layers"):
  with members:
    - "tempas temporal archive search based on tags"
    - "expedition a time aware exploratory search system designed for scholars"

Connected through hyperedge HE-4 (induced by source paper "learning word relatedness over time"):
  with members:
    - "using word embeddings for automatic query expansion"
    - "query expansion with locally trained word embeddings"
    - "diachronic word embeddings reveal statistical laws of semantic change"
    - "that s sick dude automatic identification of word sense change across different timescales"
    - "distributed representations of words and phrases and their compositionality"
    - "tempeval 3 evaluating events time expressions and temporal relations"
    - "from frequency to meaning vector space models of semantics"

Connected through hyperedge HE-5 (induced by source paper "designing search tasks for archive search"):
  with members:
    - "expedition a time aware exploratory search system designed for scholars"

Connected through hyperedge HE-6 (induced by source paper "how to search the internet archive without indexing it"):
  with members:
    - "balancing novelty and salience adaptive learning to rank entities for timeline summarization of high impact events"
    - "losing my revolution how many resources shared on social media have been lost"

Connected through hyperedge HE-7 (induced by source paper "discovering entities with just a little help from you"):
  with members:
    - "how much is wikipedia lagging behind news"

Connected through hyperedge HE-8 (induced by source paper "expedition a time aware exploratory search system designed for scholars"):
  with members:
    - "automated news suggestions for populating wikipedia entity pages"

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)