2 papers
cs.LG2023
GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs
Taniya Das, Mark Koch, Maya Ravichandran +1
GraphRNN is a deep learning-based architecture proposed by You et al. for learning generative models for graphs. We replicate the results of You et al. using a reproduced implement…
cs.DC2020
NVMe and PCIe SSD Monitoring in Hyperscale Data Centers
Nikhil Khatri, Shirshendu Chakrabarti
With low latency, high throughput and enterprise-grade reliability, SSDs have become the de-facto choice for storage in the data center. As a result, SSDs are used in all online da…