15 citations · 25 across the 3 of their papers we have counts for
3 papers
cs.DC2023★ 5 cited
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Zeyuan Tan, Xiulong Yuan, Congjie He +7
Systems for serving inference requests on graph neural networks (GNN) must combine low latency with high throughout, but they face irregular computation due to skew in the number o…
cs.LG2022★ 5 cited
Structure Enhanced Graph Neural Networks for Link Prediction
Baole Ai, Zhou Qin, Wenting Shen +1
Graph Neural Networks (GNNs) have shown promising results in various tasks, among which link prediction is an important one. GNN models usually follow a node-centric message passin…
cs.DC2019★ 15 cited
AliGraph: A Comprehensive Graph Neural Network Platform
Rong Zhu, Kun Zhao, Hongxia Yang +5
An increasing number of machine learning tasks require dealing with large graph datasets, which capture rich and complex relationship among potentially billions of elements. Graph…