LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "distributed graph" as a keyword



Photo by goumbik from unsplash

GDLL: A Scalable and Share Nothing Architecture based Distributed Graph Neural Networks Framework

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3148126

Abstract: Deep learning has recently been shown to be effective in uncovering hidden patterns in non-Euclidean space, where data is represented as graphs with complex object relationships and interdependencies. Because of the implicit data dependence in… read more here.

Keywords: neural networks; graph neural; gdll scalable; distributed graph ... See more keywords
Photo by goumbik from unsplash

Coded Computing for Distributed Graph Analytics

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Transactions on Information Theory"

DOI: 10.1109/tit.2020.2999675

Abstract: Many distributed computing systems have been developed recently for implementing graph based algorithms such as PageRank over large-scale graph-structured datasets such as social networks. Performance of these systems significantly suffers from communication bottleneck as a… read more here.

Keywords: tex math; communication; distributed graph; inline formula ... See more keywords
Photo by goumbik from unsplash

Distributed Graph-Based Optimization of Multicast Data Dissemination for Internet of Vehicles

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"

DOI: 10.1109/tits.2022.3226198

Abstract: The Internet of Vehicles (IoV) is a promising paradigm for autonomous driving, where the sensing data from the onboard sensors can be disseminated and processed cooperatively via vehicle-to-vehicle links. Autonomous vehicles can share their local… read more here.

Keywords: distributed graph; data dissemination; graph based; internet vehicles ... See more keywords
Photo by goumbik from unsplash

Realizing Memory-Optimized Distributed Graph Processing

Sign Up to like & get
recommendations! Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"

DOI: 10.1109/tkde.2017.2779797

Abstract: A multitude of contemporary applications heavily involve graph data whose size appears to be ever–increasing. This trend shows no signs of subsiding and has caused the emergence of a number of distributed graph processing systems… read more here.

Keywords: memory optimized; graph processing; graph; realizing memory ... See more keywords