Parallel Processing: Utilizes Map/Reduce to process and compare graphs.. Matching Statistics:The program calculates various matching statistics using the Jaccard Index, a popular similarity measure ...

Distributed Subgraph Enumeration via Backtracking-based Framework distributed-computing subgraph-isomorphism subgraph-matching distributed-graph-processing Updated Jan 22, 2021 ...

Learn how to partition, model, and execute graph algorithms in distributed graph databases, and what are the trade-offs and challenges involved. Skip to main content LinkedIn Articles ...

To address the challenge of processing large-scale graphs, researchers have paid much attention to distributed approaches. The quality of graph partitioning plays a key role in the performance of ...

Speaker: Young Han Abstract: The considerable interest in distributed systems that can execute algorithms to process large graphs has led to the creation ... On Improving Distributed Pregel-like Graph ...

Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data... Skip to main content. Due to a ...

We study the distributed processing of graph signals that are well represented by graph spectral dictionaries. We first analyze the impact of quantization noise in the distributed computation of ...