Computing Personalized PageRank Quickly by Exploiting Graph Structures
By Takanori Maehara, Takuya Akiba, Yoichi Iwata, Ken-ichi Kawarabayashi. 2014
84 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Stefanie Sabrina Jegelka
- Keyulu Xu
- Jure Leskovec
- Ken-ichi Kawarabayashi
- Chengtao Li
- Yonglong Tian
- Tomohiro Sonobe
- Matthias Fey
In Computer Vision and Pattern Recognition
- Stefanie Sabrina Jegelka
- Yonglong Tian
- Ken-ichi Kawarabayashi
- Keyulu Xu
- Luc Van Gool
- Andrew Zisserman
- Trevor Darrell
- Xiaogang Wang
In Information Systems
Citations in the corpus
- Representation Learning on Graphs with Jumping Knowledge Networks (2018, background): “Social and web networks usually consist of an expander-like core part and an almost-tree (bounded treewidth) part, which represent well-connected entities and the small communities respectively (Leskovec et al., 2009; Maehara et al., 2014; Tsonis et al., 2006).”