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 "low congestion shortcut and graph parameters"):
  Abstract: The concept of low-congestion shortcuts is initiated by Ghaffari and Haeupler [SODA2016] for addressing the design of CONGEST algorithms running fast in restricted network topologies. Specifically, given a specific graph class $X$, an $f$-round algorithm of constructing shortcuts of quality $q$ for any instance in $X$ results in $\tilde{O}(q + f)$-round algorithms of solving several fundamental graph problems such as minimum spanning tree and minimum cut, for $X$. #R##N#In this paper, we consider the relationship between the quality of low-congestion shortcuts and three major graph parameters, chordality, diameter, and clique-width. The main contribution of the paper is threefold: (1) We show an $O(1)$-round algorithm which constructs a low-congestion shortcut with quality $O(kD)$ for any $k$-chordal graph, and prove that the quality and running time of this construction is nearly optimal up to polylogarithmic factors. (2) We present two algorithms, each of which constructs a low-congestion shortcut with quality $\tilde{O}(n^{1/4})$ in $\tilde{O}(n^{1/4})$ rounds for graphs of $D=3$, and that with quality $\tilde{O}(n^{1/3})$ in $\tilde{O}(n^{1/3})$ rounds for graphs of $D=4$ respectively. These results obviously deduce two MST algorithms running in $\tilde{O}(n^{1/4})$ and $\tilde{O}(n^{1/3})$ rounds for $D=3$ and $4$ respectively, which almost close the long-standing complexity gap of the MST construction in small-diameter graphs originally posed by Lotker et al. [Distributed Computing 2006]. (3) We show that bounding clique-width does not help the construction of good shortcuts by presenting a network topology of clique-width six where the construction of MST is as expensive as the general case.

Includes members:
  Member "time message trade offs in distributed algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "message reduction in the local model is a free lunch")
  Member "round and message optimal distributed graph algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "near optimal schedules for simultaneous multicasts")
  Member "minor excluded network families admit fast distributed algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "near optimal schedules for simultaneous multicasts")
  Member "distributed treewidth computation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "planar diameter via metric compression")
  Member "new distributed algorithms in almost mixing time via transformations from parallel algorithms":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "near optimal schedules for simultaneous multicasts")
  Member "faster distributed shortest path approximations via shortcuts":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "dynamic low stretch trees via dynamic low diameter decompositions")
  Member "near linear lower bounds for distributed distance computations even in sparse networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest")
  Member "low congestion shortcuts without embedding":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "near optimal schedules for simultaneous multicasts")

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.DC(Distributed, Parallel, and Cluster Computing)