human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "space complexity of list h coloring revisited the case of oriented trees"):
  Abstract: Digraphs H for which the list homomorphism problem with template H (LHOM(H)) is in logspace (L) was characterized by Egri et al. (SODA 2014): LHOM(H) is in L if and only if H does not contain a circular N (assuming L is different from NL). Undirected graphs for which LHOM(H) is in L can be characterized in terms forbidden induced subgraphs, and also via a simple inductive construction (Egri et al., STACS 2010). As a consequence, the logspace algorithm in the undirected case is simple and easy to understand. No such forbidden subgraph or inductive characterization, and no such simple and easy-to-understand algorithm is known in the case of digraphs. In this paper, in the case of oriented trees, we refine and strengthen the results of Egri et al. (SODA 2014): we give a characterization of oriented trees T for which LHOM(T) is in L both in terms of forbidden induced subgraphs, and also via a simple inductive construction. Using this characterization, we obtain a simple and easy-to-analyze logspace algorithm for LHOM(T). We also show how these oriented trees can be recognized in time O(|V(T)|^3) (the straightforward implementation of the algorithm given in SODA 2014 runs in time O(|V(H)|^8) for oriented trees). An algebraic characterization of these trees is also provided.

Includes members:
  Member "space complexity of list h colouring a dichotomy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "constraint satisfaction problem dichotomy for finite templates a proof via consistency checks")
  Member "list h coloring a graph by removing few vertices":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "multi budgeted directed cuts")
  Member "the dichotomy of list homomorphisms for digraphs":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "toward a dichotomy for approximation of h coloring")
  Member "the complexity of the list homomorphism problem for graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "parameterized algorithms for min max multiway cut and list digraph homomorphism")
  Member "minimum cost and list homomorphisms to semicomplete digraphs":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "list h coloring a graph by removing few vertices")

Question: Please tell me which class the source paper 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.CC(Computational Complexity)