Search Results for author:
Found 2 papers, 2 papers with code
Graph isomorphism UNet
Recent methods leverage learnable parameters to extract structural information from neural networks and extend pooling and unpooling to graphs using node features and graph structural information.
Ranked #2 on
Graph Classification
on PTC
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN
This study presents an adversarial method for anomaly detection in real-world applications, leveraging the power of generative adversarial neural networks (GANs) through cycle consistency in reconstruction error.
Ranked #1 on
Anomaly Detection
on SVHN
