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: "exposing multi relational networks to single relational network analysis algorithms"
  Abstract: Many, if not most network analysis algorithms have been designed specifically for single-relational networks; that is, networks in which all edges are of the same type. For example, edges may either represent “friendship,” “kinship,” or “collaboration,” but not all of them together. In contrast, a multi-relational network is a network with a heterogeneous set of edge labels which can represent relationships of various types in a single data structure. While multi-relational networks are more expressive in terms of the variety of relationships they can capture, there is a need for a general framework for transferring the many single-relational network analysis algorithms to the multi-relational domain. It is not sufficient to execute a single-relational network analysis algorithm on a multi-relational network by simply ignoring edge labels. This article presents an algebra for mapping multi-relational networks to single-relational networks, thereby exposing them to single-relational network analysis algorithms.

Connected through hyperedge HE-1 (induced by source paper "a tensor based data model for polystore an application to social networks data"):
  with members:
    - "laradb a minimalist kernel for linear and relational algebra computation"
    - "polystore mathematics of relational algebra"
    - "the bigdawg polystore system and architecture"
    - "measuring user influence on twitter"
    - "d4m bringing associative arrays to database engines"
    - "achieving 100 000 000 database inserts per second using accumulo and d4m"
    - "the sql query language configurable unifying and semi structured"
    - "predicting successful memes using network and community structure"

Connected through hyperedge HE-2 (induced by source paper "a method for group extraction and analysis in multilayer social networks"):
  with members:
    - "group evolution discovery in social networks"
    - "estimating continuous distributions in bayesian classifiers"
    - "tracking group evolution in social networks"
    - "analysis of neighbourhoods in multi layered dynamic social networks"
    - "low distortion inference of latent similarities from a multiplex social network"
    - "a degree centrality in multi layered social network"
    - "shortest path discovery in the multi layered social network"
    - "social networks that matter twitter under the microscope"

Connected through hyperedge HE-3 (induced by source paper "finding overlapping communities in multiplex networks"):
  with members:
    - "clustering attributed graphs models measures and methods"
    - "towards effective visual analytics on multiplex and multilayer networks"
    - "overlapping community detection in networks the state of the art and comparative study"
    - "a classification for community discovery methods in complex networks"

Connected through hyperedge HE-4 (induced by source paper "non negative matrix factorizations for multiplex network analysis"):
  with members:
    - "clustering on multi layer graphs via subspace analysis on grassmann manifolds"
    - "clustering with multi layer graphs a spectral perspective"
    - "empirical comparison of algorithms for network community detection"
    - "a tutorial on spectral clustering"

Connected through hyperedge HE-5 (induced by source paper "the gremlin graph traversal machine and language invited talk"):
  with members:
    - "reconciliation of rdf and property graphs"
    - "the rdf virtual machine"
    - "grammar based random walkers in semantic networks"
    - "mapping semantic networks to undirected networks"

Connected through hyperedge HE-6 (induced by source paper "analysis of neighbourhoods in multi layered dynamic social networks"):
  with members:
    - "a degree centrality in multi layered social network"
    - "shortest path discovery in the multi layered social network"
    - "multidimensional social network in the social recommender system"
    - "social networks that matter twitter under the microscope"
    - "a multi relational network to support the scholarly communication process"

Connected through hyperedge HE-7 (induced by source paper "a path algebra for multi relational graphs"):
  with members:
    - "constructions from dots and lines"

Connected through hyperedge HE-8 (induced by source paper "grammar based geodesics in semantic networks"):
  with members:
    - "grammar based random walkers in semantic networks"
    - "mapping semantic networks to undirected networks"
    - "towards usage based impact metrics first results from the mesur project"
    - "social decision making with multi relational networks and grammar based particle swarms"

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.DM(Discrete Mathematics)