Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage

Author:

Rozanec Joze1ORCID,Elvesæter Brian2ORCID,Roman Dumitru2ORCID,Grobelnik Marko1ORCID,Haase Peter3ORCID

Affiliation:

1. Jozef Stefan Institute, Ljubljana, Slovenia

2. SINTEF, Oslo, Norway

3. Metaphacts, Walldorf, Germany

Funder

European Commission

Publisher

ACM

Reference24 articles.

1. Graph sample and hold

2. Nesreen K Ahmed , Nick Duffield , Theodore Willke , and Ryan A Rossi . 2017. On sampling from massive graph streams. arXiv preprint arXiv:1703.02625 ( 2017 ). Nesreen K Ahmed, Nick Duffield, Theodore Willke, and Ryan A Rossi. 2017. On sampling from massive graph streams. arXiv preprint arXiv:1703.02625 (2017).

3. Maciej Besta , Dimitri Stanojevic , Johannes De Fine Licht , Tal Ben-Nun, and Torsten Hoefler. 2019 . Graph processing on fpgas: Taxonomy , survey, challenges. arXiv preprint arXiv:1903.06697 (2019). Maciej Besta, Dimitri Stanojevic, Johannes De Fine Licht, Tal Ben-Nun, and Torsten Hoefler. 2019. Graph processing on fpgas: Taxonomy, survey, challenges. arXiv preprint arXiv:1903.06697 (2019).

4. P. Boldi and S. Vigna . 2004. The Webgraph Framework I: Compression Techniques . In Proceedings of the 13th International Conference on World Wide Web ( New York, NY, USA) (WWW '04). Association for Computing Machinery, New York, NY, USA, 595--602. https://doi.org/10.1145/988672.988752 10.1145/988672.988752 P. Boldi and S. Vigna. 2004. The Webgraph Framework I: Compression Techniques. In Proceedings of the 13th International Conference on World Wide Web (New York, NY, USA) (WWW '04). Association for Computing Machinery, New York, NY, USA, 595--602. https://doi.org/10.1145/988672.988752

5. Compact representation of Web graphs with extended functionality

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