21 citations · 21 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 21 cited
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing
Tianfeng Liu, Yangrui Chen, Dan Li +7
Graph neural networks (GNNs) have extended the success of deep neural networks (DNNs) to non-Euclidean graph data, achieving ground-breaking performance on various tasks such as no…
math.OC2013
A Unified Markov Chain Approach to Analysing Randomised Search Heuristics
Jun He, Feidun He, Xin Yao
The convergence, convergence rate and expected hitting time play fundamental roles in the analysis of randomised search heuristics. This paper presents a unified Markov chain appro…