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: "a simple polynomial algorithm for the longest path problem on cocomparability graphs"
  Abstract: Given a graph $G$, the longest path problem asks to compute a simple path of $G$ with the largest number of vertices. This problem is the most natural optimization version of the well known and well studied Hamiltonian path problem, and thus it is NP-hard on general graphs. However, in contrast to the Hamiltonian path problem, there are only few restricted graph families such as trees and some small graph classes where polynomial algorithms for the longest path problem have been found. Recently it has been shown that this problem can be solved in polynomial time on interval graphs by applying dynamic programming to a characterizing ordering of the vertices of the given graph \cite{longest-int-algo}, thus answering an open question. In the present paper, we provide the first polynomial algorithm for the longest path problem on a much greater class, namely on cocomparability graphs. Our algorithm uses a similar - but essentially simpler - dynamic programming approach, which is applied to a Lexicographic Depth First Search (LDFS) characterizing ordering of the vertices of a cocomparability graph. Therefore, our results provide evidence that this general dynamic programming approach can be used in a more general setting, leading to efficient algorithms for the longest path problem on greater classes of graphs. LDFS has recently been introduced in \cite{Corneil-LDFS08}. Since then, a similar phenomenon of extending an existing interval graph algorithm to cocomparability graphs by using an LDFS preprocessing step has also been observed for the minimum path cover problem \cite{Corneil-MPC}. Therefore, more interestingly, our results also provide evidence that cocomparability graphs present an interval graph structure when they are considered using an LDFS ordering of their vertices, which may lead to other new and more efficient combinatorial algorithms.

Connected through hyperedge HE-1 (induced by source paper "contracting to a longest path in h free graphs"):
  with members:
    - "on the parameterized complexity of contraction to generalization of trees"
    - "independent feedback vertex set for p_5 free graphs"
    - "contracting bipartite graphs to paths and cycles"
    - "polynomial time algorithms for the longest induced path and induced disjoint paths problems on graphs of bounded mim width"
    - "a faster fpt algorithm for bipartite contraction"
    - "obtaining planarity by contracting few edges"
    - "finding small separators in linear time via treewidth reduction"
    - "contracting graphs to paths and trees"

Connected through hyperedge HE-2 (induced by source paper "maximum induced matching algorithms via vertex ordering characterizations"):
  with members:
    - "towards a unified view of linear structure on graph classes"
    - "a linear time algorithm for maximum cardinality matching on cocomparability graphs"
    - "linear time lexdfs on cocomparability graphs"
    - "ordering without forbidden patterns"
    - "minimizing flow time in the wireless gathering problem"

Connected through hyperedge HE-3 (induced by source paper "the power of data reduction for matching"):
  with members:
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"
    - "linear time lexdfs on cocomparability graphs"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "preprocessing for treewidth a combinatorial analysis through kernelization"

Connected through hyperedge HE-4 (induced by source paper "maximal cliques structure for cocomparability graphs and applications"):
  with members:
    - "linear time lexdfs on cocomparability graphs"

Connected through hyperedge HE-5 (induced by source paper "polynomial fixed parameter algorithms a case study for longest path on interval graphs"):
  with members:
    - "the power of data reduction for matching"
    - "fully polynomial time parameterized computations for graphs and matrices of low treewidth"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "a nearly mlogn time solver for sdd linear systems"
    - "narrow sieves for parameterized paths and packings"

Connected through hyperedge HE-6 (induced by source paper "a tie break model for graph search"):
  with members:
    - "four degrees of separation really"

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)