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: "low congestion shortcuts without embedding"
  Abstract: Distributed optimization algorithms are frequently faced with solving sub-problems on disjoint connected parts of a network. Unfortunately, the diameter of these parts can be significantly larger than the diameter of the underlying network, leading to slow running times. Recent work by [Ghaffari and Hauepler; SODA'16] showed that this phenomenon can be seen as the broad underlying reason for the pervasive Omega(√n + D) lower bounds that apply to most optimization problems in the CONGEST model. On the positive side, this work also introduced low-congestion shortcuts as an elegant solution to circumvent this problem in certain topologies of interest. Particularly, they showed that there exist good shortcuts for any planar network and more generally any bounded genus network. This directly leads to fast O(DlogO(1)n) distributed optimization algorithms on such topologies, e.g., for MST and Min-Cut approximation, given that one can efficiently construct these shortcuts in a distributed manner.   Unfortunately, the shortcut construction of [Ghaffari and Hauepler; SODA'16] relies heavily on having access to a bounded genus embedding of the network. Computing such an embedding distributedly, however, is a hard problem - even for planar networks. No distributed embedding algorithm for bounded genus graphs is in sight. In this work, we side-step this problem by defining a slightly restricted and more structured form of shortcuts and giving a novel construction algorithm which efficiently finds a shortcut which is, up to a logarithmic factor, as good as the best shortcut that exists for a given network. This new construction algorithm directly leads to an O(D logO(1) n)-round algorithm for solving optimization problems like MST for any topology for which good restricted shortcuts exist - without the need to compute any embedding. This includes the first efficient algorithm for bounded genus graphs.

Connected through hyperedge HE-1 (induced by source paper "near optimal schedules for simultaneous multicasts"):
  with members:
    - "improved distributed approximations for minimum weight two edge connected spanning subgraph"
    - "round and message optimal distributed graph algorithms"
    - "minor excluded network families admit fast distributed algorithms"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "plane gossip approximating rumor spread in planar graphs"
    - "a simpler proof for o congestion dilation packet routing"

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"
    - "faster distributed shortest path approximations via shortcuts"
    - "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"

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"
    - "faster distributed shortest path approximations via shortcuts"
    - "lower bounds for external memory integer sorting via network coding"
    - "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"
    - "faster distributed shortest path approximations via shortcuts"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "intersection graphs an introduction"

Connected through hyperedge HE-5 (induced by source paper "improved distributed approximations for minimum weight two edge connected spanning subgraph"):
  with members:
    - "distributed edge connectivity in sublinear time"
    - "small cuts and connectivity certificates a fault tolerant approach"
    - "minor excluded network families admit fast distributed algorithms"
    - "new distributed algorithms in almost mixing time via transformations from parallel algorithms"
    - "distributed approximation of minimum k edge connected spanning subgraphs"
    - "fast distributed approximation for tap and 2 edge connectivity"
    - "almost tight distributed minimum cut algorithms"
    - "distributed minimum cut approximation"

Connected through hyperedge HE-6 (induced by source paper "property testing of planarity in the congest model"):
  with members:
    - "minor excluded network families admit fast distributed algorithms"
    - "fiding forbidden minors in sublinear time a o n 1 2 o 1 query one sided tester for minor closed properties on bounded degree graphs"
    - "distributed subgraph detection"
    - "testing bounded arboricity"
    - "a sublinear tester for outerplanarity and other forbidden minors with one sided error"
    - "distributed detection of cycles"
    - "faster and simpler distributed algorithms for testing and correcting graph properties in the congest model"
    - "distributed property testing for subgraph freeness revisited"

Connected through hyperedge HE-7 (induced by source paper "minor excluded network families admit fast distributed algorithms"):
  with members:
    - "distributed exact shortest paths in sublinear time"
    - "distributed exact weighted all pairs shortest paths in tilde o n 5 4 rounds"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "an almost tight distributed algorithm for computing single source shortest paths"
    - "near optimal distributed maximum flow"
    - "fast partial distance estimation and applications"
    - "almost tight distributed minimum cut algorithms"
    - "distributed approximation algorithms for weighted shortest paths"

Connected through hyperedge HE-8 (induced by source paper "round and message optimal distributed graph algorithms"):
  with members:
    - "minor excluded network families admit fast distributed algorithms"
    - "a simple deterministic distributed mst algorithm with near optimal time and message complexities"
    - "a time and message optimal distributed algorithm for minimum spanning trees"
    - "near optimal distributed maximum flow"
    - "fast partial distance estimation and applications"
    - "almost tight distributed minimum cut algorithms"
    - "near optimal distributed approximation of minimum weight connected dominating set"
    - "distributed approximation algorithms for weighted 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)