One Trillion Edges: Graph Processing at Facebook-Scale

By Avery Ching, Sergey Edunov, Maja Kabiljo, Dionysios Logothetis, Sambavi Muthukrishnan. Proceedings of the VLDB Endowment, 2015

481 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/420a0e5fc398f197bca3dfe40291a82b2c65655a

How researchers see this paper

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

In Computer Vision and Pattern Recognition

1. Jiajun Shen
2. Haibing Guan
3. Alex Peysakhovich
4. Adam Lerer
5. Jiaxin Shi
6. Timothée Lacroix
7. Ledell Yu Wu
8. Josh Tenenbaum

In Information Systems

1. Haibo Chen
2. Timothée Lacroix
3. Ledell Yu Wu
4. Binyu Zang

Citations in the corpus

• PyTorch-BigGraph: A Large-scale Graph Embedding System (2019, methodology): “, 2016), as well as specialized methods for standard algorithms such as SVD and k-means on large graphs (Ching et al., 2015).”
• PowerLyra: Differentiated Graph Computation and Partitioning on Skewed Graphs (2019, background): “It can be evidenced by the fact that many well-known companies like Google [47], Facebook [19], and Alibaba [30] distributed graph-parallel systems in their production systems.”