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May 18, 2019 · This paper gives a brief overview of in-memory Big Graph Systems and some key challenges. Also, sheds some light on future research agendas of in-memory ...
Big Graph is posing many issues such as storage, scalability, processing and many more. This paper gives a brief overview of in-memory Big Graph Systems and ...
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Following this major trend, this paper explores actual state-of-the-art results in the area of analytics over big graphs and discusses open research issues and ...
This paper focuses on models, paradigms, techniques and future challenges of temporal big data analytics, by reporting on state-of-the-art results as well as ...
Sep 1, 2021 · A community view on graph processing systems ensuring the success of big graph processing for the next decade and beyond.
Missing: Agenda. | Show results with:Agenda.
In this paper, we present a comprehensive overview of the state-of-the-art to better understand the challenges of developing very high-scalable graph processing ...
Missing: Agenda. | Show results with:Agenda.
In-memory graph databases for web-scale data. IEEE Computer ... Exploring HPC and big data convergence: A graph processing study on Intel Knights Landing.
Abstract. Many big data applications in business and science require the management and analysis of huge amounts of graph data. Suitable.
In-Memory Big Graph: A Future Research Agenda. Chapter. May 2019 ; GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine.
... future research on big graph analytics platforms. This survey aims to help readers get a systematic picture of the landscape of recent big graph systems ...