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: "hypertableau reasoning for description logics"
  Abstract: We present a novel reasoning calculus for the description logic SHOIQ+--a knowledge representation formalism with applications in areas such as the SemanticWeb. Unnecessary nondeterminism and the construction of large models are two primary sources of inefficiency in the tableau-based reasoning calculi used in state-of-the-art reasoners. In order to reduce nondeterminism, we base our calculus on hypertableau and hyperresolution calculi, which we extend with a blocking condition to ensure termination. In order to reduce the size of the constructed models, we introduce anywhere pairwise blocking. We also present an improved nominal introduction rule that ensures termination in the presence of nominals, inverse roles, and number restrictions--a combination of DL constructs that has proven notoriously difficult to handle. Our implementation shows significant performance improvements over state-of-the-art reasoners on several well-known ontologies.

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"
    - "eventkg a multilingual event centric temporal knowledge graph"
    - "how powerful are graph neural networks"

Connected through hyperedge HE-2 (induced by source paper "real time reasoning in owl2 for gdpr compliance"):
  with members:
    - "reasoning over ontologies with hidden content the import by query approach"
    - "the dl lite family and relations"
    - "a semantics and complete algorithm for subsumption in the classic description logic"

Connected through hyperedge HE-3 (induced by source paper "rule based owl modeling with rowltab protege plugin"):
  with members:
    - "modeling owl with rules the rowl protege plugin"

Connected through hyperedge HE-4 (induced by source paper "extending consequence based reasoning to sriq"):
  with members:
    - "deciding regular grammar logics with converse through first order logic"

Connected through hyperedge HE-5 (induced by source paper "converting instance checking to subsumption a rethink for object queries over practical ontologies"):
  with members:
    - "extract abox modules for efficient ontology querying"
    - "conjunctive query answering for the description logic shiq"
    - "complexity results and practical algorithms for logics in knowledge representation"
    - "reasoning with individuals for the description logic shiq"

Connected through hyperedge HE-6 (induced by source paper "litemat a scalable cost efficient inference encoding scheme for large rdf graphs"):
  with members:
    - "shark sql and rich analytics at scale"

Connected through hyperedge HE-7 (induced by source paper "bound your models how to make owl an asp modeling language"):
  with members:
    - "query driven procedures for hybrid mknf knowledge bases"

Connected through hyperedge HE-8 (induced by source paper "aber owl a framework for ontology based data access in biology"):
  with members:
    - "ontology based data access a study through disjunctive datalog csp and mmsnp"

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.LO(Logic in Computer Science)