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: "large cuts with local algorithms on triangle free graphs"
  Abstract: We study the problem of finding large cuts in $d$-regular triangle-free graphs. In prior work, Shearer (1992) gives a randomised algorithm that finds a cut of expected size $(1/2 + 0.177/\sqrt{d})m$, where $m$ is the number of edges. We give a simpler algorithm that does much better: it finds a cut of expected size $(1/2 + 0.28125/\sqrt{d})m$. As a corollary, this shows that in any $d$-regular triangle-free graph there exists a cut of at least this size. #R##N#Our algorithm can be interpreted as a very efficient randomised distributed algorithm: each node needs to produce only one random bit, and the algorithm runs in one synchronous communication round. This work is also a case study of applying computational techniques in the design of distributed algorithms: our algorithm was designed by a computer program that searched for optimal algorithms for small values of $d$.

Connected through hyperedge HE-1 (induced by source paper "distributed detection of cliques in dynamic networks"):
  with members:
    - "fast and simple deterministic algorithms for highly dynamic networks"
    - "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"
    - "distributed triangle detection via expander decomposition"
    - "improved algorithms for fully dynamic maximal independent set"
    - "detecting cliques in congest networks"
    - "distributed subgraph detection"

Connected through hyperedge HE-2 (induced by source paper "the distributed complexity of locally checkable problems on paths is decidable"):
  with members:
    - "almost global problems in the local model"
    - "improved distributed delta coloring"
    - "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"
    - "on derandomizing local distributed algorithms"
    - "distributed degree splitting edge coloring and orientations"

Connected through hyperedge HE-3 (induced by source paper "on the power of preprocessing in decentralized network optimization"):
  with members:
    - "distributed dominating set approximations beyond planar graphs"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "deterministic subgraph detection in broadcast congest"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "on the complexity of local distributed graph problems"
    - "a lower bound for the distributed lov asz local lemma"

Connected through hyperedge HE-4 (induced by source paper "fast distributed approximation for max cut"):
  with members:
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "a distributed 2 epsilon approximation for vertex cover in o log delta epsilon log log delta rounds"
    - "distributed strong diameter network decomposition"
    - "randomized composable core sets for distributed submodular maximization"
    - "a deterministic almost tight distributed algorithm for approximating single source shortest paths"
    - "a new framework for distributed submodular maximization"
    - "distributed approximation algorithms for weighted shortest paths"
    - "streaming lower bounds for approximating max cut"

Connected through hyperedge HE-5 (induced by source paper "triangle finding and listing in congest networks"):
  with members:
    - "tight bounds for distributed graph computations"
    - "distributed testing of excluded subgraphs"
    - "fast distributed algorithms for testing graph properties"
    - "algebraic methods in the congested clique"
    - "fast partial distance estimation and applications"
    - "almost tight distributed minimum cut algorithms"
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"

Connected through hyperedge HE-6 (induced by source paper "lcl problems on grids"):
  with members:
    - "a time hierarchy theorem for the local model"
    - "distributed degree splitting edge coloring and orientations"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "deterministic distributed delta o delta edge coloring and vertex coloring of graphs with bounded diversity"
    - "local conflict coloring"
    - "exact bounds for distributed graph colouring"
    - "a lower bound for the distributed lov asz local lemma"
    - "intrinsic universality and the computational power of self assembly"

Connected through hyperedge HE-7 (induced by source paper "adapting sequential algorithms to the distributed setting"):
  with members:
    - "correlation clustering in data streams"
    - "fast distributed approximation for max cut"
    - "on derandomizing local distributed algorithms"
    - "distributed approximation of maximum independent set and maximum matching"
    - "on the complexity of local distributed graph problems"
    - "optimal dynamic distributed mis"
    - "combinatorial approximation algorithms for maxcut using random walks"
    - "max cut and the smallest eigenvalue"

Connected through hyperedge HE-8 (induced by source paper "fast distributed algorithms for testing graph properties"):
  with members:
    - "triangle finding and listing in congest networks"
    - "survey of distributed decision"
    - "algebraic methods in the congested clique"
    - "non local probes do not help with graph problems"
    - "distributed random walks"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"
    - "distributed verification and hardness of distributed approximation"
    - "distributed discovery of large near cliques"

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)