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: "towards a unified view of linear structure on graph classes"
  Abstract: Graph searching, a mechanism to traverse a graph in a spe- cific manner, is a powerful tool that has led to a number of elegant algo- rithms. This paper focuses on lexicographic breadth first search (LexBFS) (a variant of BFS) introduced in [8] to recognize chordal graphs. Since then, there has been a number of elegant LexBFS based, often multi-sweep, algorithms. These are algorithms that compute a sequence of LexBFS orderings {\sigma}1 , . . . , {\sigma}k , and use {\sigma}i to break ties when computing {\sigma}i+1 . The tie-breaking rule is often referred to as a + rule, and the graph search as LexBFS+ . We write LexBFS+ (G, {\sigma}i ) = {\sigma}i+1 . In this paper, we prove that LexBFS converges for a number of graph families, including interval graphs, cobipartite graphs, trees, and domino-free cocomparability graphs. In particular, we prove a fixed point theorem for LexBFS that shows the existence of two orderings {\sigma} and {\pi} where LexBFS+ (G, {\sigma}) = {\pi} and LexBFS+ (G, {\pi}) = {\sigma}. A consequence of this result, in particular, is the simplest algorithm to compute a transitive orientation for these graph classes, as well as providing a unified view of the linear structure seen on various graph families. In addition to this algorithmic consequence, we provide fixed point theorems for proper interval, interval, cobipartite, and domino-free cocomparability graphs, as well as trees. These are the first non-trivial results of this kind.

Connected through hyperedge HE-1 (induced by source paper "maximum induced matching algorithms via vertex ordering characterizations"):
  with members:
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "linear time lexdfs on cocomparability graphs"
    - "ordering without forbidden patterns"
    - "a simple polynomial algorithm for the longest path problem on cocomparability graphs"
    - "minimizing flow time in the wireless gathering problem"

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.DS(Data Structures and Algorithms)