2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DB2024★ 2 cited
GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs
Juelin Liu, Sandeep Polisetty, Hui Guan +1
Graph pattern matching is a fundamental problem encountered by many common graph mining tasks and the basic building block of several graph mining systems. This paper explores for…
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…