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 lower bound for the distributed lov asz local lemma"
  Abstract: We show that any randomised Monte Carlo distributed algorithm for the Lov\'asz local lemma requires $\Omega(\log \log n)$ communication rounds, assuming that it finds a correct assignment with high probability. Our result holds even in the special case of $d = O(1)$, where $d$ is the maximum degree of the dependency graph. By prior work, there are distributed algorithms for the Lov\'asz local lemma with a running time of $O(\log n)$ rounds in bounded-degree graphs, and the best lower bound before our work was $\Omega(\log^* n)$ rounds [Chung et al. 2014].

Connected through hyperedge HE-1 (induced by source paper "distributed edge coloring in time quasi polylogarithmic in delta"):
  with members:
    - "faster deterministic distributed coloring through recursive list coloring"
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "towards the locality of vizing s theorem"
    - "distributed approximation algorithms for maximum matching in graphs and hypergraphs"
    - "the complexity of distributed edge coloring with small palettes"
    - "deterministic distributed edge coloring with fewer colors"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on derandomizing local distributed algorithms"

Connected through hyperedge HE-2 (induced by source paper "a breezing proof of the kmw bound"):
  with members:
    - "lower bounds for maximal matchings and maximal independent sets"
    - "the complexity of distributed edge coloring with small palettes"
    - "on the complexity of local distributed graph problems"
    - "a hierarchy of local decision"
    - "lower bounds for local approximation"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-3 (induced by source paper "fast and simple deterministic algorithms for highly dynamic networks"):
  with members:
    - "lower bounds for maximal matchings and maximal independent sets"
    - "how much does randomness help with locally checkable problems"
    - "simple dynamic algorithms for maximal independent set and other problems"
    - "fully dynamic maximal independent set with sublinear update time"
    - "local distributed algorithms in highly dynamic networks"
    - "improved algorithms for fully dynamic maximal independent set"
    - "improved deterministic distributed matching via rounding"
    - "new classes of distributed time complexity"

Connected through hyperedge HE-4 (induced by source paper "classification of distributed binary labeling problems"):
  with members:
    - "seeing far vs seeing wide volume complexity of local graph problems"
    - "an automatic speedup theorem for distributed problems"
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "how much does randomness help with locally checkable problems"
    - "almost global problems in the local model"
    - "the distributed complexity of locally checkable problems on paths is decidable"
    - "hardness of minimal symmetry breaking in distributed computing"

Connected through hyperedge HE-5 (induced by source paper "a topological perspective on distributed network algorithms"):
  with members:
    - "topological characterization of consensus under general message adversaries"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "why extension based proofs fail"
    - "tight bounds for asymptotic and approximate consensus"
    - "locally iterative distributed delta 1 coloring below szegedy vishwanathan barrier and applications to self stabilization and to restricted bandwidth models"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "on the complexity of local distributed graph problems"
    - "gracefully degrading consensus and k set agreement in directed dynamic networks"

Connected through hyperedge HE-6 (induced by source paper "an automatic speedup theorem for distributed problems"):
  with members:
    - "lower bounds for maximal matchings and maximal independent sets"
    - "almost global problems in the local model"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"
    - "sublogarithmic distributed algorithms for lov asz local lemma and the complexity hierarchy"
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "lcl problems on grids"

Connected through hyperedge HE-7 (induced by source paper "on the complexity of distributed splitting problems"):
  with members:
    - "improved distributed degree splitting and edge coloring"
    - "sublogarithmic distributed algorithms for lov asz local lemma and the complexity hierarchy"
    - "deterministic distributed edge coloring with fewer colors"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "a time hierarchy theorem for the local model"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"

Connected through hyperedge HE-8 (induced by source paper "a sharp threshold phenomenon for the distributed complexity of the lovasz local lemma"):
  with members:
    - "on the complexity of distributed splitting problems"
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "distributed approximation algorithms for maximum matching in graphs and hypergraphs"
    - "improved distributed degree splitting and edge coloring"
    - "a time hierarchy theorem for the local model"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"

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.DC(Distributed, Parallel, and Cluster Computing)