-
A Large-Scale Database for Graph Representation Learning
With the rapid emergence of graph representation learning, the construct...
11/16/2020 ∙ by Scott Freitas, et al. ∙
0
∙
share
read it
-
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Graph data have become increasingly common. Visualizing them helps peopl...
08/26/2020 ∙ by Siwei Li, et al. ∙
0
∙
share
read it
-
ELF: An Early-Exiting Framework for Long-Tailed Classification
The natural world often follows a long-tailed data distribution where on...
06/22/2020 ∙ by Rahul Duggal, et al. ∙
7
∙
share
read it
-
Evaluating Graph Vulnerability and Robustness using TIGER
The study of network robustness is a critical tool in the characterizati...
06/10/2020 ∙ by Scott Freitas, et al. ∙
0
∙
share
read it
-
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Deep learning models are being integrated into a wide range of high-impa...
02/21/2020 ∙ by Scott Freitas, et al. ∙
0
∙
share
read it
-
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
In recent years, significant attention has been devoted towards integrat...
01/29/2020 ∙ by Rahul Duggal, et al. ∙
116
∙
share
read it
-
Local Partition in Rich Graphs
Local graph partitioning is a key graph mining tool that allows research...
03/14/2018 ∙ by Scott Freitas, et al. ∙
0
∙
share
read it
Scott Freitas
is this you? claim profile
0
followers
Arizona State University
∙
Georgia Institute of Technology
