Subgraph matching, which finds subgraphs isomorphic to a query, is the k...
Regularized discrete optimal transport (OT) is a powerful tool to measur...
With the continuing advances of sensing devices and IoT/Telecom applicat...
We propose a few-shot learning method for unsupervised feature selection...
The ratio of two probability densities, called a density-ratio, is a vit...
Subgraph matching is a compute-intensive problem that asks to enumerate ...
The trip planning query searches for preferred routes starting from a gi...
Network reliability is an important metric to evaluate the connectivity ...
We propose a simple yet effective method for detecting anomalous instanc...
We propose Absum, which is a regularization method for improving adversa...
Residual Networks with convolutional layers are widely used in the field...
Concurrency Control (CC) is the heart of the correctness and is the curr...
Softmax is an output activation function for modeling categorical probab...
Adaptive learning rate algorithms such as RMSProp are widely used for
tr...