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 "fast responsive decentralised graph colouring"):
  Abstract: We solve, in a fully decentralised way (\ie with no message passing), the classic problem of colouring a graph. We propose a novel algorithm that is automatically responsive to topology changes, and we prove that it converges quickly to a proper colouring in $O(N\log{N})$ time with high probability for generic graphs (and in $O(\log{N})$ time if $\Delta=O(1)$) when the number of available colours is greater than $\Delta$, the maximum degree of the graph. #R##N#We believe the proof techniques used in this work are of independent interest and provide new insight into the properties required to ensure fast convergence of decentralised algorithms.

Includes members:
  Member "decentralized constraint satisfaction":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on a decentralized delta 1 graph coloring algorithm")
  Member "learning based constraint satisfaction with sensing restrictions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "spectrum intelligent radio technology development and future trends")
  Member "decentralised learning macs for collision free access in wlans":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "cost sharing games for energy efficient multi hop broadcast in wireless networks")
  Member "towards a collision free wlan dynamic parameter adjustment in csma e2ca":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a high efficiency mac protocol for wlans providing fairness in dense scenarios")

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.DS(Data Structures and Algorithms)