18 citations · 22 across the 5 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
Multi-View Graph Representation Learning Beyond Homophily
Bei Lin, You Li, Ning Gui +2
Unsupervised graph representation learning(GRL) aims to distill diverse graph information into task-agnostic embeddings without label supervision. Due to a lack of support from lab…
cs.LG2022★ 18 cited
Graph Representation Learning Beyond Node and Homophily
You Li, Bei Lin, Binli Luo +1
Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding. However, existing graph representation…
cs.LG2020★ 1 cited
Pair-view Unsupervised Graph Representation Learning
You Li, Binli Luo, Ning Gui
Low-dimension graph embeddings have proved extremely useful in various downstream tasks in large graphs, e.g., link-related content recommendation and node classification tasks, et…