Reservoir computation models form a subclass of recurrent neural network...
Task-agnostic cross-domain pre-training shows great potential in image-b...
The decoupled Graph Convolutional Network (GCN), a recent development of...
Session-based recommendation (SBR) systems aim to utilize the user's
sho...
Node classification on attributed networks is a semi-supervised task tha...
Most action recognition models today are highly parameterized, and evalu...
Hidden community is a useful concept proposed recently for social networ...
Anonymization technique has been extensively studied and widely applied ...
We study anonymization techniques for preserving privacy in the publicat...