Abstract: We present the SSTGraph framework for the storage and analysis of dynamic graphs. Its performance matches or exceeds state-of-the-art static graph ...

Tinyset implements set membership in a shallow hierarchy of sorted packed memory arrays to achieve logarithmic time access and updates, and it scans in optimal ...

We present the SSTGraph framework for the storage and analysis of dynamic graphs. Its performance matches or exceeds state-of-the-art static graph engines ...

Streaming Sparse Graphs using Efficient Dynamic Sets ... We present the SSTGraph framework for the storage and analysis of dynamic graphs. Its performance matches ...

Streaming Sparse Graphs using Efficient Dynamic Sets. B Wheatman, R Burns. 2021 IEEE International Conference on Big Data (Big Data), 284-294, 2021. 12, 2021.

In streaming graph algorithms [84], [63], one usually starts with an empty graph with no edges (but with a fixed set of vertices). Then, at each algorithm step, ...

Many ideas from this work also went into the creation of Streaming Sparse Graphs using Efficient Dynamic Sets for which the code can be found at https://github.

This work provides the first analysis and taxonomy of dynamic and streaming graph processing, focusing on identifying the fundamental system designs and on ...

Jan 16, 2024 · The objective is to find space-efficient algorithms that output independent sets that are “combinatorially optimal”, that is, with size ...

In this paper, we propose a novel Graph Stream Sketch (GSS for short) to summarize the graph streams, which has linear space cost O(|E|) (E is the edge set of ...