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: "eventkg a multilingual event centric temporal knowledge graph"
  Abstract: One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations. Existing knowledge graphs, with popular examples including DBpedia, YAGO and Wikidata, focus mostly on entity-centric information and are insufficient in terms of their coverage and completeness with respect to events and temporal relations. EventKG presented in this paper is a multilingual event-centric temporal knowledge graph that addresses this gap. EventKG incorporates over 690 thousand contemporary and historical events and over 2.3 million temporal relations extracted from several large-scale knowledge graphs and semi-structured sources and makes them available through a canonical representation.

Connected through hyperedge HE-1 (induced by source paper "knowledge graphs"):
  with members:
    - "modl a modular ontology design library"
    - "drum end to end differentiable rule mining on knowledge graphs"
    - "hypernetwork knowledge graph embeddings"
    - "ceres distantly supervised relation extraction from the semi structured web"
    - "a tutorial on modular ontology modeling with ontology design patterns the cooking recipes ontology"
    - "building an ecosystem for the tyrolean tourism knowledge graph"
    - "how powerful are graph neural networks"
    - "knowledge graph embedding with iterative guidance from soft rules"

Connected through hyperedge HE-2 (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"
    - "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"
    - "history by diversity helping historians search news archives"
    - "timemachine timeline generation for knowledge base entities"

Connected through hyperedge HE-3 (induced by source paper "happening happen predict infer event series completion in a knowledge graph"):
  with members:
    - "eventkg the hub of event knowledge on the web and biographical timeline generation"
    - "inferring missing categorical information in noisy and sparse web markup"
    - "towards better understanding researcher strategies in cross lingual event analytics"
    - "eventkg tl creating cross lingual timelines from an event centric knowledge graph"
    - "stranse a novel embedding model of entities and relationships in knowledge bases"
    - "proje embedding projection for knowledge graph completion"
    - "there is no deadline time evolution of wikipedia discussions"

Connected through hyperedge HE-4 (induced by source paper "data4urbanmobility towards holistic data analytics for mobility applications in urban regions"):
  with members:
    - "eventkg the hub of event knowledge on the web and biographical timeline generation"
    - "inferring missing categorical information in noisy and sparse web markup"
    - "depicting urban boundaries from a mobility network of spatial interactions a case study of great britain with geo located twitter data"
    - "extracting event centric document collections from large scale web archives"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-5 (induced by source paper "searching news articles using an event knowledge graph leveraged by wikidata"):
  with members:
    - "sequential short text classification with recurrent and convolutional neural networks"
    - "distributed representations of words and phrases and their compositionality"

Connected through hyperedge HE-6 (induced by source paper "towards better understanding researcher strategies in cross lingual event analytics"):
  with members:
    - "archiveweb collaboratively extending and exploring web archive collections how would you like to work with your collections"
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "extracting event centric document collections from large scale web archives"
    - "analysing temporal evolution of interlingual wikipedia article pairs"
    - "understanding editing behaviors in multilingual wikipedia"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"

Connected through hyperedge HE-7 (induced by source paper "eventkg tl creating cross lingual timelines from an event centric knowledge graph"):
  with members:
    - "multiwiki interlingual text passage alignment in wikipedia"
    - "ongoing events in wikipedia a cross lingual case study"
    - "icrawl improving the freshness of web collections by integrating social web and focused web crawling"
    - "timemachine timeline generation for knowledge base entities"

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.CL(Computation and Language)