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: "faster distributed shortest path approximations via shortcuts"
  Abstract: A long series of recent results and breakthroughs have led to faster and better distributed approximation algorithms for single source shortest paths (SSSP) and related problems in the CONGEST model. The runtime of all these algorithms, however, is $\tilde{\Omega}(\sqrt{n})$, regardless of the network topology, even on nice networks with a (poly)logarithmic network diameter $D$. While this is known to be necessary for some pathological networks, most topologies of interest are arguably not of this type. #R##N#We give the first distributed approximation algorithms for shortest paths problems that adjust to the topology they are run on, thus achieving significantly faster running times on many topologies of interest. The running time of our algorithms depends on and is close to $Q$, where $Q$ is the quality of the best shortcut that exists for the given topology. While $Q = \tilde{\Theta}(\sqrt{n} + D)$ for pathological worst-case topologies, many topologies of interest have $Q = \tilde{\Theta}(D)$, which results in near instance optimal running times for our algorithm, given the trivial $\Omega(D)$ lower bound. #R##N#The problems we consider are as follows: (1) an approximate shortest path tree and SSSP distances, (2) a polylogarithmic size distance label for every node such that from the labels of any two nodes alone one can determine their distance (approximately), and (3) an (approximately) optimal flow for the transshipment problem. #R##N#Our algorithms have a tunable tradeoff between running time and approximation ratio. Our fastest algorithms have an arbitrarily good polynomial approximation guarantee and an essentially optimal $\tilde{O}(Q)$ running time. On the other end of the spectrum, we achieve polylogarithmic approximations in $\tilde{O}(Q \cdot n^{\epsilon})$ rounds for any $\epsilon > 0$. It seems likely that eventually, our non-trivial approximation algorithms for the...

Connected through hyperedge HE-1 (induced by source paper "dynamic low stretch trees via dynamic low diameter decompositions"):
  with members:
    - "expander decomposition and pruning faster stronger and simpler"
    - "a deamortization approach for dynamic spanner and dynamic maximal matching"
    - "dynamic minimum spanning forest with subpolynomial worst case update time"
    - "fully dynamic connectivity in o log n log log n 2 amortized expected time"
    - "efficient algorithms for constructing very sparse spanners and emulators"
    - "fully dynamic minimum spanning forest with improved worst case update time"
    - "on fully dynamic graph sparsifiers"
    - "fully dynamic spanners with worst case update time"

Connected through hyperedge HE-2 (induced by source paper "planar diameter via metric compression"):
  with members:
    - "exact distance oracles for planar graphs with failing vertices"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "constant query time 1 epsilon approximate distance oracle for planar graphs"
    - "fast and compact exact distance oracle for planar graphs"
    - "voronoi diagrams on planar graphs and computing the diameter in deterministic tilde o n 5 3 time"
    - "better tradeoffs for exact distance oracles in planar graphs"
    - "a faster distributed single source shortest paths algorithm"

Connected through hyperedge HE-3 (induced by source paper "network coding gaps for completion times of multiple unicasts"):
  with members:
    - "flow cut gaps and face covers in planar graphs"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "lower bounds for external memory integer sorting via network coding"
    - "low congestion shortcuts without embedding"
    - "cops robbers and threatening skeletons padded decomposition for minor free graphs"
    - "simple fast and deterministic gossip and rumor spreading"
    - "lexicographic products and the power of non linear network coding"
    - "distributed verification and hardness of distributed approximation"

Connected through hyperedge HE-4 (induced by source paper "low congestion shortcut and graph parameters"):
  with members:
    - "time message trade offs in distributed algorithms"
    - "round and message optimal distributed graph algorithms"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "low congestion shortcuts without embedding"
    - "intersection graphs an introduction"

Connected through hyperedge HE-5 (induced by source paper "low congestion cycle covers and their applications"):
  with members:
    - "property testing of planarity in the congest model"
    - "minor excluded network families admit fast distributed algorithms"
    - "distributed treewidth computation"
    - "round and message optimal distributed part wise aggregation"
    - "low congestion shortcuts without embedding"
    - "the adversarial noise threshold for distributed protocols"
    - "minimum weight cycle covers and their approximability"

Connected through hyperedge HE-6 (induced by source paper "a faster distributed single source shortest paths algorithm"):
  with members:
    - "a deterministic distributed algorithm for exact weighted all pairs shortest paths in tilde o n 3 2 rounds"
    - "distributed exact shortest paths in sublinear time"
    - "improved distributed algorithms for exact shortest paths"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "distributed approximation of maximum independent set and maximum matching"
    - "parallel shortest paths using radius stepping"
    - "near optimal approximate shortest paths and transshipment in distributed and streaming models"
    - "hopsets with constant hopbound and applications to approximate shortest paths"

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)