4 citations · 5 across the 4 of their papers we have counts for
4 papers
Lock-Free Computation of PageRank in Dynamic Graphs
Subhajit Sahu
PageRank is a metric that assigns importance to the vertices of a graph based on its neighbors and their scores. Recently, there has been increasing interest in computing PageRank…
DF* PageRank: Improved Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs
Subhajit Sahu
PageRank is a widely used centrality measure that assesses the significance of vertices in a graph by considering their connections and the importance of those connections. Efficie…
FUSED-PAGERANK: Loop-Fusion based Approximate PageRank
Shalini Jain, Rahul Utkoor, Hemalatha Eedi +2
PageRank is a graph centrality metric that gives the importance of each node in a given graph. The PageRank algorithm provides important insights to understand the behavior of node…
An Improved and Optimized Practical Non-Blocking PageRank Algorithm for Massive Graphs
Hemalatha Eedi, Sahith Karra, Sathya Peri +2
PageRank is a well-known algorithm whose robustness helps set a standard benchmark when processing graphs and analytical problems. The PageRank algorithm serves as a standard for m…