4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 4 cited
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Saurabh Bajaj, Hojae Son, Juelin Liu +2
Graph Neural Networks (GNNs) have gained significant attention in recent years due to their ability to learn representations of graph-structured data. Two common methods for traini…
cs.DC2023★ 1 cited
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
Sandeep Polisetty, Juelin Liu, Kobi Falus +4
Graph neural networks (GNNs), an emerging class of machine learning models for graphs, have gained popularity for their superior performance in various graph analytical tasks. Mini…