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: "efficient enumeration of induced subtrees in a k degenerate graph"
  Abstract: In this paper, we address the problem of enumerating all induced subtrees in an input \(k\) -degenerate graph, where an induced subtree is an acyclic and connected induced subgraph. A graph \(G = (V, E)\) is a \(k\)-degenerate graph if for any its induced subgraph has a vertex whose degree is less than or equal to \(k\), and many real-world graphs have small degeneracies, or very close to small degeneracies. Although, the studies are on subgraphs enumeration, such as trees, paths, and matchings, but the problem addresses the subgraph enumeration, such as enumeration of subgraphs that are trees. Their induced subgraph versions have not been studied well. One of few examples is for chordless paths and cycles. Our motivation is to reduce the time complexity close to \(O(1)\) for each solution. This type of optimal algorithms is proposed many subgraph classes such as trees, and spanning trees. Induced subtrees are fundamental object thus it should be studied deeply and there possibly exist some efficient algorithms. Our algorithm utilizes nice properties of \(k\)-degeneracy to state an effective amortized analysis. As a result, the time complexity is reduced to \(O(k)\) time per induced subtree. The problem is solved in constant time for each in planar graphs, as a corollary.

Connected through hyperedge HE-1 (induced by source paper "constant amortized time enumeration of independent sets for graphs with bounded clique number"):
  with members:
    - "efficient enumeration of dominating sets for sparse graphs"
    - "efficient enumeration of bipartite subgraphs in graphs"
    - "small maximal independent sets and faster exact graph coloring"

Connected through hyperedge HE-2 (induced by source paper "an efficient algorithm for enumerating chordal bipartite induced subgraphs in sparse graphs"):
  with members:
    - "efficient enumeration of bipartite subgraphs in graphs"

Connected through hyperedge HE-3 (induced by source paper "efficient enumeration of dominating sets for sparse graphs"):
  with members:
    - "output polynomial enumeration on graphs of bounded local linear mim width"
    - "on the enumeration of minimal dominating sets and related notions"
    - "a polynomial delay algorithm for enumerating minimal dominating sets in chordal graphs"
    - "polynomial delay algorithm for listing minimal edge dominating sets in graphs"
    - "optimal listing of cycles and st paths in undirected graphs"
    - "new results on monotone dualization and generating hypergraph transversals"

Connected through hyperedge HE-4 (induced by source paper "efficient enumeration of bipartite subgraphs in graphs"):
  with members:
    - "enumeration of enumeration algorithms"
    - "optimal listing of cycles and st paths in undirected graphs"
    - "listing all maximal cliques in large sparse real world graphs"
    - "listing all maximal cliques in sparse graphs in near optimal time"

Connected through hyperedge HE-5 (induced by source paper "efficient enumeration of subgraphs and induced subgraphs with bounded girth"):
  with members:
    - "efficient enumeration of dominating sets for sparse graphs"
    - "bypassing erd h o s girth conjecture hybrid stretch and sourcewise spanners"
    - "computing the girth of a planar graph in linear time"

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)