StreamWorks - A system for Dynamic Graph Search

TL;DR

StreamWorks is a system designed for real-time, incremental search of subgraph patterns in dynamic, multi-relational graphs, enabling timely analysis of streaming social media, news, and cyber data.

Contribution

It introduces a novel dynamic graph query system that efficiently leverages structural and semantic features for real-time subgraph search in streaming data.

Findings

Supports real-time detection of complex patterns

Handles large-scale, multi-relational graph streams

Demonstrates efficiency in dynamic graph search

Abstract

Acting on time-critical events by processing ever growing social media, news or cyber data streams is a major technical challenge. Many of these data sources can be modeled as multi-relational graphs. Mining and searching for subgraph patterns in a continuous setting requires an efficient approach to incremental graph search. The goal of our work is to enable real-time search capabilities for graph databases. This demonstration will present a dynamic graph query system that leverages the structural and semantic characteristics of the underlying multi-relational graph.