This paper proposes a novel parallel neighborhood expansion-based algorithm for graph edge partitioning aimed at addressing computational efficiency and scalability issues in large-scale graph data ...

Acceleration of large-scale graph processing by FPGA has been proved an energy efficient method, especially in edge computation scenarios. FPGA acceleration of graph calculation includes inter ...

The edge consistency model focuses on the edges of the whereas the vertex consistency model focuses on the vertex. Therefore, it is essential that the appropriate model is thought-out for ML models ...

Implemented the parallel SSSP update algorithm in C/C++ using: METIS for graph partitioning. MPI for inter-node coordination. OpenMP for intra-node parallelism. Tested on public datasets (e.g., BHJ-1, ...

When using process-parallel-edges and collapse-expand together, and there would be a loop edge is generated that can not be removed, and the edge label is displayed on the collapsed combo directly ...