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: "fooling views a new lower bound technique for distributed computations under congestion"
  Abstract: We introduce a novel lower bound technique for distributed graph algorithms under bandwidth limitations. #R##N#We define the notion of \emph{fooling views} and exemplify its strength by proving two new lower bounds for triangle membership in the CONGEST(B) model: #R##N#(i) Any $1$-round algorithm requires $B\geq c\Delta \log n$ for a constant $c>0$. #R##N#(ii) If $B=1$, even in constant-degree graphs any algorithm must take $\Omega(\log^* n)$ rounds. #R##N#The implication of the former is the first proven separation between the LOCAL and the CONGEST models for deterministic triangle membership. #R##N#The latter result is the first non-trivial lower bound on the number of rounds required, even for \emph{triangle detection}, under limited bandwidth. #R##N#All previous known techniques are provably incapable of giving these bounds. #R##N#We hope that our approach may pave the way for proving lower bounds for additional problems in various settings of distributed computing for which previous techniques do not suffice.

Connected through hyperedge HE-1 (induced by source paper "distributed testing of graph isomorphism in the congest model"):
  with members:
    - "distributed detection of cliques in dynamic networks"
    - "property testing of planarity in the congest model"
    - "distributed triangle detection via expander decomposition"
    - "detecting cliques in congest networks"
    - "distributed subgraph detection"
    - "distributed detection of cycles"
    - "faster and simpler distributed algorithms for testing and correcting graph properties in the congest model"
    - "triangle finding and listing in congest networks"

Connected through hyperedge HE-2 (induced by source paper "beyond alice and bob improved inapproximability for maximum independent set in congest"):
  with members:
    - "improved distributed approximation to maximum independent set"
    - "detecting cliques in congest networks"
    - "distributed spanner approximation"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "distributed approximation of maximum independent set and maximum matching"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "distributed construction of purely additive spanners"
    - "approximation of distances and shortest paths in the broadcast congest clique"

Connected through hyperedge HE-3 (induced by source paper "improved distributed expander decomposition and nearly optimal triangle enumeration"):
  with members:
    - "distributed edge connectivity in sublinear time"
    - "sparse matrix multiplication and triangle listing in the congested clique model"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "distributed triangle detection via expander decomposition"
    - "graph sparsification spectral sketches and faster resistance computation via short cycle decompositions"
    - "expander decomposition and pruning faster stronger and simpler"
    - "mst in o 1 rounds of the congested clique"
    - "triangle finding and listing in congest networks"

Connected through hyperedge HE-4 (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-5 (induced by source paper "the communication complexity of set intersection and multiple equality testing"):
  with members:
    - "improved distributed expander decomposition and nearly optimal triangle enumeration"
    - "distributed triangle detection via expander decomposition"
    - "detecting cliques in congest networks"
    - "triangle finding and listing in congest networks"
    - "deterministic subgraph detection in broadcast congest"
    - "communication complexity for algorithm designers"
    - "on the communication complexity of sparse set disjointness and exists equal problems"

Connected through hyperedge HE-6 (induced by source paper "connectivity lower bounds in broadcast congested clique"):
  with members:
    - "detecting cliques in congest networks"
    - "mst in o 1 rounds of the congested clique"
    - "proof labeling schemes broadcast unicast and in between"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "deterministic graph connectivity in the broadcast congested clique"
    - "approximation of distances and shortest paths in the broadcast congest clique"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-7 (induced by source paper "distributed triangle detection via expander decomposition"):
  with members:
    - "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"
    - "detecting cliques in congest networks"
    - "mst in o 1 rounds of the congested clique"
    - "a faster distributed single source shortest paths algorithm"
    - "distributed exact shortest paths in sublinear time"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "deterministic subgraph detection in broadcast congest"
    - "on the distributed complexity of large scale graph computations"

Connected through hyperedge HE-8 (induced by source paper "detecting cliques in congest networks"):
  with members:
    - "improved distributed expander decomposition and nearly optimal triangle enumeration"
    - "distributed triangle detection via expander decomposition"
    - "distributed detection of cycles"
    - "quadratic and near quadratic lower bounds for the congest model"
    - "triangle finding and listing in congest networks"
    - "deterministic subgraph detection in broadcast congest"
    - "tight bounds for distributed graph computations"
    - "fast distributed algorithms for testing graph properties"

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.DS(Data Structures and Algorithms)