29 citations · 40 across the 3 of their papers we have counts for
3 papers
cs.DB2026
GraphLake: A Purpose-Built Graph Compute Engine for Lakehouse
Shige Liu, Songting Chen, Chengjie Qin +2
In this paper, we introduce GraphLake, a purpose-built graph compute engine for Lakehouse. GraphLake is built on top of the commercial graph database TigerGraph. It maps Lakehouse…
cs.LG2023★ 11 cited
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Haoteng Yin, Muhan Zhang, Jianguo Wang +1
Subgraph-based graph representation learning (SGRL) has recently emerged as a powerful tool in many prediction tasks on graphs due to its advantages in model expressiveness and gen…
cs.LG2022★ 29 cited
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning
Haoteng Yin, Muhan Zhang, Yanbang Wang +2
Subgraph-based graph representation learning (SGRL) has been recently proposed to deal with some fundamental challenges encountered by canonical graph neural networks (GNNs), and h…