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: "lower bounds for maximal matchings and maximal independent sets"
  Abstract: There are distributed graph algorithms for finding maximal matchings and maximal independent sets in $O(\Delta + \log^* n)$ communication rounds; here $n$ is the number of nodes and $\Delta$ is the maximum degree. The lower bound by Linial (1987, 1992) shows that the dependency on $n$ is optimal: these problems cannot be solved in $o(\log^* n)$ rounds even if $\Delta = 2$. #R##N#However, the dependency on $\Delta$ is a long-standing open question, and there is currently an exponential gap between the upper and lower bounds. #R##N#We prove that the upper bounds are tight. We show that maximal matchings and maximal independent sets cannot be found in $o(\Delta + \log \log n / \log \log \log n)$ rounds with any randomized algorithm in the LOCAL model of distributed computing. #R##N#As a corollary, it follows that there is no deterministic algorithm for maximal matchings or maximal independent sets that runs in $o(\Delta + \log n / \log \log n)$ rounds; this is an improvement over prior lower bounds also as a function of $n$.

Connected through hyperedge HE-1 (induced by source paper "distributed maximum matching verification in congest"):
  with members:
    - "sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation"
    - "improved deterministic distributed matching via rounding"
    - "coresets meet edcs algorithms for matching and vertex cover on massive graphs"
    - "round compression for parallel matching algorithms"
    - "deterministic distributed edge coloring via hypergraph maximal matching"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "on derandomizing local distributed algorithms"
    - "distributed approximation of maximum independent set and maximum matching"

Connected through hyperedge HE-2 (induced by source paper "truly tight in delta bounds for bipartite maximal matching and variants"):
  with members:
    - "an automatic speedup theorem for distributed problems"
    - "classification of distributed binary labeling problems"
    - "locality of not so weak coloring"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"
    - "improved deterministic distributed matching via rounding"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "distributed maximal matching greedy is optimal"

Connected through hyperedge HE-3 (induced by source paper "distributed graph problems through an automata theoretic lens"):
  with members:
    - "classification of distributed binary labeling problems"
    - "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"
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "an exponential separation between randomized and deterministic complexity in the local model"

Connected through hyperedge HE-4 (induced by source paper "a breezing proof of the kmw bound"):
  with members:
    - "the complexity of distributed edge coloring with small palettes"
    - "on the complexity of local distributed graph problems"
    - "a hierarchy of local decision"
    - "a lower bound for the distributed lov asz local lemma"
    - "lower bounds for local approximation"
    - "local computation lower and upper bounds"

Connected through hyperedge HE-5 (induced by source paper "the topology of local computing in networks"):
  with members:
    - "an automatic speedup theorem for distributed problems"
    - "a topological perspective on distributed network algorithms"

Connected through hyperedge HE-6 (induced by source paper "fast and simple deterministic algorithms for highly dynamic networks"):
  with members:
    - "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"
    - "dynamic algorithms for graph coloring"

Connected through hyperedge HE-7 (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"
    - "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"
    - "the complexity of distributed edge coloring with small palettes"

Connected through hyperedge HE-8 (induced by source paper "a topological perspective on distributed network algorithms"):
  with members:
    - "topological characterization of consensus under general message adversaries"
    - "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"
    - "an improved distributed algorithm for maximal independent set"

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)