The LDBC Social Network Benchmark: Interactive Workload

By O. Erling, A. Averbuch, J. Larriba-Pey, Hassan Chafi, Andrey Gubichev, Arnau Prat-Pérez, M. Pham, Peter A. Boncz. SIGMOD Conference, 2015

360 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/03c7ec9dbac0c1c46f52b81359112d91f49bbccc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Pranith Kumar
2. Lifeng Nai
3. Hyesoon Kim
4. Hyojong Kim
5. Ramyad Hadidi
6. Jaewoong Sim

In Computer Vision and Pattern Recognition

1. Jaewoong Sim

Citations in the corpus

• GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks (2017, methodology): “To study the impact of input graph data on performance, we perform experiments using the LDBC synthetic graph [32] with four different graph sizes, from 1K vertices to 1M vertices.”