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Your search keyword '"Graph sampling"' showing total 140 results

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140 results on '"Graph sampling"'

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1. Triangle-induced and degree-wise sampling over large graphs in social networks.

2. Graph spatial sampling.

3. Sampling unknown large networks restricted by low sampling rates

6. Efficiently estimating node influence through group sampling over large graphs.

7. EIGENPOLYTOPE UNIVERSALITY AND GRAPHICAL DESIGNS.

8. An adaptive graph sampling framework for graph analytics.

9. Graphical designs and gale duality.

10. Weighting estimation under bipartite incidence graph sampling.

11. A Survey of Sampling Method for Social Media Embeddedness Relationship.

12. Empirical characterization of graph sampling algorithms.

13. Generalized sampling of multi-dimensional graph signals based on prior information.

14. Cluster-preserving sampling algorithm for large-scale graphs.

15. FedGraph: Federated Graph Learning With Intelligent Sampling.

16. Sensor placement method for water distribution networks based on sampling of non-bandlimited graph signals.

17. BC tree-based spectral sampling for big complex network visualization

18. Unsupervised node representation learning of pure graph via symmetric cumulative sampling strategy.

19. Evaluating graph neural networks under graph sampling scenarios

20. RAPID MIXING OF THE SWITCH MARKOV CHAIN FOR 2-CLASS JOINT DEGREE MATRICES.

21. MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph.

22. Codes, Cubes, and Graphical Designs.

23. Sampling Graphlets of Multiplex Networks: A Restricted Random Walk Approach.

24. Weighted Jump in Random Walk graph sampling.

25. Graph inductive learning method for small sample classification of hyperspectral remote sensing images

26. Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling

27. SAKE: Estimating Katz Centrality Based on Sampling for Large-Scale Social Networks.

28. Tracking triadic cardinality distributions for burst detection in high-speed graph streams.

29. “What Do Your Friends Think?”: Efficient Polling Methods for Networks Using Friendship Paradox.

30. Context-aware Sampling of Large Networks via Graph Representation Learning.

31. Preserving Minority Structures in Graph Sampling.

32. Accurate, efficient and scalable training of Graph Neural Networks.

33. Ht-index for empirical evaluation of the sampled graph-based Discrete Pulse Transform.

34. Evaluation of the Sample Clustering Process on Graphs.

35. Guided sampling for large graphs.

36. Supports estimation via graph sampling.

37. Optimized BottleNet Transformer model with Graph Sampling and Counterfactual Attention for cow individual identification.

38. EOD Edge Sampling for Visualizing Dynamic Network via Massive Sequence View

40. Coin-Flipping, Ball-Dropping, and Grass-Hopping for Generating Random Graphs from Matrices of Edge Probabilities.

41. BIGGR: Bringing Gradoop to Applications.

42. Practical characterization of large networks using neighborhood information.

43. Generalized sampling of graph signals with the prior information based on graph fractional Fourier transform.

44. Multi-node wind speed forecasting based on a novel dynamic spatial–temporal graph network.

45. Rapid mixing of the switch Markov chain for 2-class joint degree matrices

46. Efficient frequent subgraph mining on large streaming graphs.

47. Sampling online social networks by random walk with indirect jumps.

48. Characterizing Directed and Undirected Networks via Multidimensional Walks with Jumps.

49. The connectivity of graphs of graphs with self-loops and a given degree sequence.

50. Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model.

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