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121 results on '"Big graph"'

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1. A big graph clustering method to support parallel processing by perceiving graph's application algorithm semantics.

2. TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis

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3. DHPV: a distributed algorithm for large-scale graph partitioning

4. In-Memory Big Graph: A Future Research Agenda

5. Network Motifs: A Survey

6. g-Sum: A Graph Summarization Approach for a Single Large Social Network.

7. Keyword Search on Large Graphs: A Survey.

8. Secure Dynamic Big Graph Data: Scalable, Low-Cost Remote Data Integrity Checking

9. Toward a General Framework for Multimodal Big Data Analysis

10. A distributed and incremental algorithm for large-scale graph clustering

11. VSEP: A Distributed Algorithm for Graph Edge Partitioning

12. A survey of community search over big graphs.

13. Against Signed Graph Deanonymization Attacks on Social Networks.

14. Advantages of Giraph over Hadoop in Graph Processing.

15. TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis.

16. Resisting re-identification mining on social graph data.

17. A new scalable leader-community detection approach for community detection in social networks.

18. cSketch: a novel framework for capturing cliques from big graph.

19. GraphScope

20. A feasible graph partition framework for parallel computing of big graph.

21. Knowledge Big Graph Fusing Ontology with Property Graph: A Case Study of Financial Ownership Network

23. Ejemplos de Aplicabilidad de Giraph y Hadoop para el Procesamiento de Grandes Grafos.

24. Data Compression in Big Graph Warehouse

25. Placing big graph into cloud for parallel processing with a two-phase community-aware approach

26. A large scale power communication network simulation system based on big graph database

27. Multi-Fuzzy-Objective Graph Pattern Matching with Big Graph Data

28. An investigation of big graph partitioning methods for distribution of graphs in vertex-centric systems

29. Big graph classification frameworks based on Extreme Learning Machine

30. Querying Big Graphs in Data Flow Language

32. Large scale graph processing systems: survey and an experimental evaluation.

34. SpecGreedy: Unified Dense Subgraph Detection

35. The future is big graphs: a Community View on Graph Processing Systems

36. PPR-partitioning: a distributed graph partitioning algorithm based on the personalized PageRank vectors in vertex-centric systems

37. Strongly connected components based efficient computation of page rank

40. Big Graph Processing Systems (Dagstuhl Seminar 19491)

41. Toward a General Framework for Multimodal Big Data Analysis.

42. Incremental Graph Pattern Matching Algorithm for Big Graph Data

43. Against Signed Graph Deanonymization Attacks on Social Networks

44. Exploring big graph computing — An empirical study from architectural perspective

45. On Orthogonally Additive Functions With Big Graphs

46. cSketch: a novel framework for capturing cliques from big graph

47. Big Graph Data Analytics on Single Machines – An Overview

48. Learning on Big Graph: Label Inference and Regularization with Anchor Hierarchy

49. A new universal designated verifier transitive signature scheme for big graph data

50. OffStreamNG: Partial Stream Hybrid Graph Edge Partitioning Based on Neighborhood Expansion and Greedy Heuristic